An alternative to record and playback tools for enterprise-class Test Automation

 

In the article, “Why is Record and Playback not suitable for enterprise-class Test Automation?” we examined some of the reasons why Record and Playback tools are not suitable for enterprise-class Test Automation.

Some of the major reasons being complexity of handling dynamic objects/elements of an application, the difficult in authoring and maintaining stable test scripts, amount of manual effort needed, etc.

Record and Playback automated testing tools have been around for some time yet do not match the enterprise-class test automation requirements.

 

Refer the below link to know why they fail for current testing requirements:

Why is Record and Playback not suitable for enterprise-class Test Automation?

 

Record and Playback tools can let you get started without much delay, by adding an extension to the browser or by installing a piece of software on the device. However, all of this is compromised by the time spent in editing and re-recording every feature of the application whenever a change is made.

 

The Record and Playback method cannot be considered an appropriate solution for Test Automation. It can only be considered as a variant of Manual Testing. These tools can be used to make your Manual Testing effort easier for small but stable applications that require less or no change.

 

With AI and ML to maintain these tests, the tools are getting better yet far from the current test automation requirements.

 

What is a better alternative to Record and Playback tools for enterprise-class test automation?

Testsigma is an AI-driven Test Automation tool on cloud which lets you get started almost instantly to build reliable tests effortlessly. It is rather easy to get started with Testsigma with the flexibility of an enterprise-class test automation framework with no installation/setup hassle.

 

Let’s see how Testsigma lets you create stable automated tests using simple natural language.

Create stable and reliable tests easily

 

Test script development in Testsigma is as simple as writing a manual test using natural language. Testsigma takes less time to build stable and reliable tests compared to record & playback and other autonomous script development tools.

 

Unlike record and playback tools, you know what you are doing exactly when hand-coding the test, you have full control over the tests that you create without the need of programming skills.

 

All your Functional/SMEs/Test Developers and just anyone can contribute by writing clean, reusable, understandable tests that align with your business documents/process in simple natural language.

 

Testsigma provides the simplicity that you would get with any record and playback tool along with the flexibility of an enterprise-class test automation framework.

No edit, no rework is required!

 

Testsigma has a well-managed Element Repository and uses a methodical Test Development approach using Element Repository. More importantly, AI & ML is applied to auto-heal the steps through Dynamic Locator Strategy.

 

With features like Dynamic Locators, organized Element Repository, Test Data Management, Reusable Step Groups and other step level settings, Test Development and Test Maintenance using Testsigma is constructive and well organized right from the beginning and does not need any rework with time.

 

Shared Element Repository to reduce maintenance efforts

 

Maintaining numerous dynamic elements on a web page will be critical to ensure proper maintenance of tests.

 

Record and playback tools generate duplicate copies of elements and are not reused if already available. This only increases the need to maintain multiple instances of the same element.

 

Testsigma provides enterprise-class test automation with a shared element repository to avoid all these complications. With AI and other intuitive features, test maintenance is much better than ever.

 

Handle dynamic Objects/Elements with ease

 

Modern applications are rendered with lots of dynamic data, rarely with unique attributes to identify elements. In such cases, record and playback tools rely on HTML element hierarchy/absolute paths which is the most unstable and unreliable approach to build automated tests. These steps fail even for a small change in the application page(not just the element).

 

Testsigma’s ability to define dynamic element paths as part of element repository enables you with the most reliable approach to automate these scenarios.

 

Dynamic locator strategy to reduce maintenance time and effort for UI changes

 

The approach Record and Playback tools adopt to identify an element isn’t always reliable as the slightest change in the recorded element or any element on the page can break them easily.

 

An effective approach would be to use more than just one attribute to identify a particular element. This way, whenever there is a change in these attributes, any of the remaining attributes can be used to identify the element.

 

This has become a standard practice in many test automation tools. This approach addresses maintenance issues with element attribute changes. Test Automation tools like Testsigma uses AI to create paths dynamically using recorded attributes.

 

Testsigma not only uses Dynamic Locator Strategy on element attributes but also takes into account the attributes of sibling and parent elements to solve this maintenance issue better!

 

Many a time, there would be more than just element attribute change. These tools should consider all the parent and siblings of a particular element to ensure that the tests won’t break easily.

 

Shift-Left Testing for Agile and Continuous Delivery practices

 

With these tools, you cannot start your automation testing until you have a stable UI to automate.

Because of this either automation testing will be pushed out of delivery pipeline or the time to release the product continuously is delayed.

 

Both these are not acceptable for the current fast-paced Agile and Continuous Delivery practices.

 

Testsigma is ready for Shift-Left Testing right from the planning phase. With Testsigma your automated tests would be 90% complete along with your development.

And lets you start automating the application even before you have the user interface to automate!

More on Shift-Left Testing:

https://testsigma.com/blog/test-automation-tool-ready-for-shift-left/

 

Listed below are some of the most important features that match the current test automation requirements.

 

Applying AI where it is most important

Legacy automation testing tools and approaches like Record and Playback are not sufficient today with the advent of development methodologies like Agile and DevOps that demands faster frequent product releases.

 

With the need for better and smart automation testing tools, there is a lot of scope for AI in Test Automation. Apart from self-healing tests, Testsigma applies AI to a wider part of Test Automation.

This article on AI-driven Test Automation discusses the areas in which AI can be applied in Test Automation.

 

Reusable Step Groups

Reusable Test Groups allows grouping of Test Steps that might be used multiple times in the same or different Test cases. This way, the test steps need not be repeated every time and reduces test development keeping the scripts readable and concise.

 

 

Unified platform for Web, Mobile Web, Android, iOS apps and APIs

Every team has more than one application types to automate.

Testsigma is one of the first cloud-based automated testing tools to support Web, Mobile Web, Android, iOS apps and API applications on a single platform.

 

A unified, extendable and secure testing solution is essential to help testers connect thousands of web, mobile devices with different device configurations, in one go. And, does not require multiple teams to automate different application types.

 

 

Test Data Management

Test Data is vital to test coverage in test automation. It is important to test every page of the application interface with all possible test data sets to ensure error-free navigations for your customers. It is important to test applications with different data sets and the data can have different scope and can come from different test data sources.

 

Testsigma provides you with multiple test data types and inbuilt test data repositories to organize and manage all data in one place.

By default, Testsigma supports Parameter type test data, Runtime test data, Global test data, Random test data and Function type test data to generate test data using corporate address login.

 

Testsigma uses a simple and intuitive UI to generate test data to run tests with different data sets to maximize coverage and to cover all the boundary conditions.

 

 

Custom Functions

How much ever the tools try and cover possible requirements, there might be instances when you’d like to add a couple of tests which cannot be generalized.

You can attune your Test Automation needs with custom functions in such situations. You can extend Testsigma to match custom requirements using one of the widely implemented Java/Selenium approach.

 

Local Test Executions

While we are trying to move everything to cloud, there may be instances which cannot be tested on cloud infrastructure.

Unlike other tools Testsigma enables you with executions on your local environments, to see the executions real time.

 

 

Screenshots and video logs

When your tests execute remotely, it is important to capture all the evidence to debug any failure easily.

 

Testsigma enables you with not just screenshots but also videos and text logs of your executions to understand the failures faster.

 

 

Better Test Management

There may be multiple applications to automate and multiple versions of one application like Web, Android Web, Android Native, iOS Web, iOS Native and Web Services.

 

Testsigma reduces the operational time and effort involved in managing multiple application types.

 

Inbuilt Test Management helps you manage all your tests better for better test coverage and productivity.

 

Activity and History of your tests

It is important to know how your tests have been performing over time, what changed and what has not. Unlike other tools, Testsigma gives all the information on the activity and history of tests.

 

 

A few features missing in other tools

Comprehensive Reports, Result Trends, and History, Team Collaboration, Parallel Testing, Cross Browser Testing, Data Driven Testing, Enterprise-class test automation features.

 

 

Testsigma is a test automation tool with the same simplicity of record and playback tools but with enterprise-class flexibility and stability. Testsigma is built to address issues of existing Test Automation tools.

Schedule a demo

Reach out to us at support@testsigma.com for any queries

Why is Record and Playback not suitable for enterprise-class Test Automation?

Introduction

Test Automation has become an immediate requirement for every engineering team. It can also become a waste of time, money and resources if the test automation strategy and your Test Automation tool is not fit for your requirements.

 

Generally, when teams shift from Manual Testing to Test Automation, they tend to look for the simplest and easiest solutions to get started. Record and playback tools are one of the options a lot of managers consider.

 

Near zero initial time and programming knowledge are some presumed advantages of choosing record and playback tools. The general perception is that initial investment of time and effort using these tools. But time and again it is being proved that such tools do not work well to meet enterprise-class test automation requirements.

 

However, it is agreed that these tools are not suitable for test automation if you have a user interface that constantly undergoes changes. Tests created using Record and Playback tools are often outdated for even a small change in the application. You need to re-record all of the tests or you end up spending a lot of time editing tests.

 

Getting Started

Many teams shifting from manual to automation might look at Record and Playback tools as the test scripts are created automatically for every action that a functional tester performs manually.

These scripts can be easily re-run to test the same functionality provided the application does not change.

 

It may seem easy and compelling but requires a lot of rework and changes. The system generated scripts or tests are hard to understand and maintain.

We will look more into this in detail.

 

 Why is it difficult to generate stable tests easily with Record and Playback tools?

It’s been proved that these tools would fail to generate stable and reliable tests for enterprise-class applications that has complex scenarios with dynamic data.

 

A lot of manual revisions are required to make the script generated by Record and Playback tools to be stable and production-ready like editing test data and element information, adding assertions, handling dynamic data etc.

 

Also, you cannot record all the steps for dynamic enterprise-class applications. You may need to add custom actions, assertions and, dynamic steps manually.

Record and Playback tools would record both necessary and unwanted steps automatically. The recorded steps would not be as per your business documents.

 

Quite often, for the same action, more than one copy of the same script is generated multiple times and the tester has to identify which copy of the script requires editing. It’s difficult to understand what part of the code belongs to the test steps, what is the exact data the tool collects that needs change.

 

A lot of time is spent cleaning unnecessary data to make the tests reusable and readable and in-line with your business documents/process.

 

Maintaining test scripts would be a complex task with a lot of duplicate and disorganized elements making your tests very difficult to understand and maintain.

 

AI & ML can be helpful to maintain these tests for basic element attribute changes. But in reality, there can be more than just element attribute changes. There may be layout changes, design changes etc. in which case these duplicate elements requires a lot of maintenance work from developers.

 

The alternate approach would be to re-record all the steps from the beginning. However, this demands huge effort having to go through the entire process over and again. And, you may lose the test history.

 

Identifying the problem area first from the huge script that is auto-generated, making edits to the code and fixing them is a tough task.

The time required to manually test an application vs the time to repair the recorded steps or re-record is relatively less.

The time saved getting started with the application testing is wasted editing and re-recording every time there is change.

 

Why does it fail to handle Dynamic Objects/Elements?

Most of the modern applications are built with dynamic elements with no unique attributes. In such cases, record and playback tools rely on HTML element hierarchy/absolute paths which is the most unstable and unreliable approach to build automated tests.

These tests fail during subsequent re-runs, as the attributes of these dynamic elements change every time.

 

The ability to define dynamic element paths as part of element repository is required to handle these cases, which is missing in record and playback tools.

 

Also, these steps fail even for the slightest change in the application (not just the element attributes) and are not always dependable.

 

Why can’t Record and Playback tools avoid maintenance for small UI changes?

The slightest change in the recorded element or any element on the page can break the recorded tests easily.

 

Many of today’s testing tools capture more than just the required attributes to identify a particular element. This way, whenever there is a change in any one of these attributes, any of the remaining attributes can be used to identify those elements.

 

This has become a standard practice in many Test Automation tools. The approach is required to address some of the maintenance issues with element attribute changes. Some of the Test Automation tools like Testsigma use AI to create paths dynamically using the recorded attributes.

 

Testsigma not just uses the Dynamic Locator Strategy on element attributes but also takes into account the attributes of siblings and parent elements to solve this maintenance issue better!

 

Many a time, there would be more than just element attributes changes. These tools should consider the parent and sibling attributes of a particular element to ensure that the tests won’t break easily.

 

Why do these tools not support Shift-Left Testing?

It is essential to start the test automation process, early on, with the Agile and DevOps methodologies demanding faster, frequent software product releases. If testing cannot keep up with these modern approaches to ensure continuous software development and delivery, the goal is not fully achieved.

 

With these tools, you cannot start your Test Automation until you have a stable UI to automate.

 

Because of this either Test Automation will be pushed out of delivery pipeline or takes more time to release your quality products. Both these options are not acceptable for current fast-paced Agile and Continuous Delivery practices.

 

Is your test automation tool ready for Shift Left testing?

 

How Record and Playback tools fail to maintain a shared Element Repository to reduce maintenance?

Whatever may be the approach, test maintenance is a continuous effort and plays a major role in automation success. Maintaining elements is highly important for test maintenance.

 

Record and playback tools generates a lot of duplicate elements as explained earlier and do not reuse the elements that are already available. This increases the need for test maintenance with the need to manage multiple instances of the same element.

The tools are expected to be smart enough to reuse the element if it is already recorded. None of the record and playback tools address this.

 

Why record and then edit doesn’t work?

Recorded test steps are not always stable and are not reusable by default and can break as the application code changes.

 

The recommended approach is to either edit these steps manually or re-record the entire test again.

To edit a recorded test you need to first understand the system generated test completely, then decide on what to change and how to change. This requires programming knowledge and constant reviewing. Without this, for every change in the application, these tests will continue to fail.

 

But the fact is that editing an automatically generated script is more difficult and time consuming compared to many programming based tools.

 

Manually testing the same feature end to end takes less time and effort compared to editing these tests every time.

 

The purpose of Test Automation is to allow the automated tests to run unattended. On the contrary, testers are expected to sit through the whole of the execution process and find problem areas by looking them up manually and make changes to the generated code/test steps continuously. The test automation efforts go in vain as testers eventually shift back to Manual Testing.

 

Why isn’t Re-record an option?

An alternative to maintaining these tests is re-recording.
Re-recording the whole of the application for minor changes is not very convenient especially for large applications. The QA team has to go through the entire process of re-recording and editing the tests to make them stable and reliable.

 

Considering all the effort needed after recording, like editing, clean-up, etc., Re-recording is not an affordable solution for bigger teams who practice Agile and Continuous Delivery methodologies.

 

 So, where do Record and Playback tools fit?

Record and playback tools can be considered for small static applications whose application code and UI does not change frequently.
It would be appealing to the management to introduce the concept of Test Automation, what and how can be automated and how much time can be saved through Test Automation once the automated tests are in place. 

 

The better approach would be test automation with the same simplicity of record and playback tools along with enterprise-class flexibility and stability.

Check out an alternative to record and playback tools for enterprise-class Test Automation

Is Manual Testing becoming a bottleneck in your Continuous Delivery?

Modern delivery practises from Agile to DevOps to Continuous Delivery have changed the way software is being delivered. Software releases are made on a daily basis and the testing process should begin as early as the requirements specification and planning phase to keep up.

Is this release of software in shorter time cycle a boon or a bane?

Frequent, shorter software releases can reduce the chances of risk and increase business value. As the builds are tested every time before release, there is better quality and better test coverage with less defects.
Any change in the build can be made easily, especially when they are not interdependent.

 

However, this short release cycle does leave a pressure on the team to develop and test faster. And, without the right testing approach, it will be difficult to meet the continuous delivery standards.

 

As we understand, Manual Testing is not the best testing approach to match the pace of Agile development and Continuous Delivery. In such short cycles it is difficult to test every feature of the application, manually.
Manual Testing has been the go-to approach to testing since a long time but it is a tedious process when the test cycles are repeated frequently.

 

Let’s discuss some of the major challenges in manually testing an application:

Gap between dev complete and test complete

The most critical tail back in ensuring the continuous delivery of software is caused by a delay to start.

Testing of an application that starts when development completes, impacts the continuous delivery cycle. Inadequate traditional test practises and testing tools adopted compounds to this.

 

It is never enough to emphasize on the fact that Testing should be involved at the initial stages of the SDLC best, in parallel with development. Immediate feedback and an increased collaboration will enhance the quality of the software.

 

Increased Cost, Time and Resources

The manual testing team must comprise a group of enduring testers.
The manual testing approach can be quite repetitive and the testers need to work under pressure to meet the delivery time. This requires the participation of a large number of manual testers scrutinizing every feature of the application on each device it is intended to run with a great deal of attention.

 

This process can be time consuming with a large number of test cases being tested by hand.

The cost involved in testing a software manually increases with increasing time and application size.
To ensure that the continuous delivery needs of a large application is met, a huge number of manual testers and resources would be required.

 

Difficult to cope with changes

Manual Testing is not the best option for applications that are intended for long term. Such applications may undergo a lot of updates and enhancements continuously. Having to check all of these changes on every device, repeatedly for the same and different release each time is tedious and time consuming.

 

With the variety of device configurations available now, it would be rather difficult to check the working on each of these while delivering software continuously.

 

Errors due to mistakes

We are bound to make mistakes and there’s no denying that.
An error left unnoticed can escape into further stages and impact the quality of the application. The accuracy of scripted test results is more in less time compared to Manual testing.

 

As testers repeat the same tests many times there is a good chance of missing out a few things. There wouldn’t be enough time to fix these errors during continuous software delivery.

 

Lack of real or close to real Test Environments

Another important issue is with test environments.
It is necessary to ensure that the actual test environment is provided to testers to cover all possible errors that may occur at the user’s end.

 

Manual Testers need to manually check for compatibility and other possible errors in all the device/OS/browser combinations. Considering the multitude of device configurations and orientations available today, this is a rather difficult and time-consuming task. Also, setting up these test environments manually for each tester is not easy.

 

Less Test Coverage

Errors that appear on a single platform can only be checked at a time. Quite often, manual testers may miss out on a few test cases and this can affect the overall coverage of the tests.

 

Less Collaboration

There is a need for cross-functional collaborative teams that shares process updates as testing progresses. An agile team must ensure the participation of multiple testers across teams at any time. With huge test cases that needs to be manually tested, there may not be enough time for collaboration efforts across different teams.

 

Immediate feedback will help the developers make quick error fixes and save time. Practising Manual Testing in Agile and Continuous Delivery model is practically infeasible.

Manual Testing can be a bottleneck which requires tremendous testing effort. To ensure faster, continuous delivery of quality software with lesser ROI payback time, Manual Testing is not enough.

 

And hence Test Automation.

Today, the software industry has accepted the fact that Test Automation is a better replacement for Manual Testing.

Functional Testers manually go through every feature of the application on each device/OS/ browsers, try out all possible input combinations, compare and document the outcome with the expected one, manually, each time.
This is rather time consuming.

 

It is hardly the case that a set of programmed (automated) scripts miss out on some tests. Test Automation scripts need only be written once and can be executed any number of times repeatedly.

Test Automation is best suited for testing such reusable units, especially when the application undergoes a lot of updates and enhancements and retesting is required. Hence, it is best suited to match the modern Agile and Continuous Delivery practices.

 

However, a sudden shift towards Test Automation can be a bit overwhelming for functional testers.
The Test Automation tool being adopted should allow for a smooth transition from Manual Testing to Test Automation.

 

Why is there a retreat to begin Test Automation?

1. The major reason would be the need for programming skills.

Test Automation demands programming knowledge and depending on the application, would require expertise in multiple languages and technologies.

 

A test automation tool like Testsigma is easy for just anyone.
It allows Manual testers to take charge of test automation with no additional programming knowledge. The test scripts are developed using simple natural language and involves no complex coding.

 

2. Test Automation demands the usage of several tools

To automate each application type, different sets of tools might be required. Integrations with Bug tracking and Reporting tools, Continuous Integration (CI)/Continuous Delivery (CD) tools, Test Management tools, etc are all necessary to automate tests to enable Continuous Delivery.

 

One tool that suffices every application type hardly exist.
It is required to set up all of these tools before getting started. The time and cost involved to set up and ramp up the test automation process is huge.

Testsigma provides all the essential components and necessary integrations with external tools to ensure Continuous Delivery.

 

3. Insufficient test reports

The Test Automation tool should provide a detailed report on the test runs, more than just Passed/Failed for better troubleshooting.
A share detailed failure report with cross-links to rectify the errors is essential.

 

The actionable results provided by Testsigma’s AI strategy indicates what when and why failed and identifies other tests which may as well be affected and tries auto-correcting these affected automated tests.
Thus, potential failures can be identified upfront and a lot of effort, execution time and cost is saved.

 

4. Gradual ROI

As the demand to continuously deliver applications faster increases, one may need to do effective planning to create test runs faster and achieve better ROI.

 

It involves several requisites and a huge initial investment to get started. However, Test Automation efforts in Continuous Delivery would pay off as effective ROI, but only gradually due to huge initial time, high set up resource cost and need for continuous maintenance.

 

Testsigma saves time and maintenance efforts to create reliable tests with a well-managed test data. There are no requisites to get started and there’s no long wait needed to start seeing ROI.

The objective of Test Automation is to simplify testing as much as possible with minimum effort.

 

A platform that incorporates all the essential elements of test automation into one will make the Test Automation process in Continuous Delivery effective and affordable.

 

Such is Testsigma, the Test Automation tool on cloud with an in-built ecosystem of all the essential requisites to get started with Testing right away. Testsigma allows for the testing of Web, Mobile, and Web services anytime, anywhere while ensuring faster continuous delivery of the application into the market with no compromise in Quality.

Is your test automation tool ready for Shift Left testing?

It is essential to start the test automation process, early on, with the Agile and DevOps methodologies demanding faster, frequent software product releases. If testing cannot keep up with these modern approaches to software development and delivery, the goal is not fully achieved.

 

Traditional testing models wait until the final stages of SDLC to begin Testing. Taking into account the demand for faster product releases, there will not be much time left to fix the bugs completely.

This indicates the importance of involving Testing earlier in the product development stages.

 

 

Introducing Shift Left

In Shift Left Testing, testers are involved at the initial stages of the development starting at the planning and discussion phase. Simply put, moving the testing phase towards the primary stages of the SDLC or shifting left of the Software Development Life Cycle.

Shift Left is imperative to Agile development and delivery needs. Shift Left testing and Test Automation are a great combination to meet the fast demands of Agile.

 

Test Driven Development (TDD), Behavior Driven Development (BDD) and API testing and services are examples of the shift left technique.

TDD approach allows for testing on the go without any initial ramp-up delay otherwise required.The BDD approach allows for better understanding of the requirements right from the start.

 

Shift Left Testing may be a part of the development process where not just testers but developers become testers or can be done in parallel with the development phase.

Here, tests are run continuously on small modules of the application that are just developed before testing larger integrated components at once. This enhances the quality of the software and reduces the chances of critical errors towards the end of the product development stage.

 

When to Shift Left?

Testing should actually begin as early as the requirements analysis phase to get a clear understanding of the requirements of the product. Identifying defects at the development phase as early as possible would make it less expensive and easy to fix as compared to finding and fixing them at a later stage.

Just like testing a microservices architecture, testing should be carried out in smaller modules of an application. This helps to identify a bug quickly and provide better test coverage.

 

Bug in any module can bring down the whole application. A defect left unnoticed at one stage can lead to serious repercussions later. Shift left testing ensures that a build is tested before passing it to the next stage. This is critical especially to ensure Continuous Delivery.

 

It is necessary to test different layers of the application including unit, integration, and APIs (not just UI) to identify the defects early on.
Also, the amount of rework would be less compared to fixing a bug until late in the delivery phase. The impacted areas of tests will be more and the cost to fix them will be more too.

 

Shift Left with Test Automation

With set programmed tests, the test automation process can repeatedly check for defects any number of times and provide actionable results.

Together, Test Automation with Shift-Left helps in reducing the chances of errors that can appear towards the final stages of the development cycle by detecting them early.

 

How it works:

With Shift Left there is better collaboration between Functional Testing, Automated Testing and Development teams. Proper communication across teams will help improve the quality of the product and reduce overall time.

 

Earlier, there had been a gap before which a product was completely developed and tested. Many requirements, design defects are not uncovered unless significant effort is wasted on implementation. Now, there’s no idle time as both developers and testers work together with one aim, ensuring Quality of the product at Speed.

 

As Continuous Testing has emerged to match the Agile and Continuous Delivery standards, one needs to perform test automation in a way that suits today’s complex application by using the Shift-Left approach.

 

What to expect

Shift Left Testing help testers provide insightful reviews and reports to the developers throughout the development phase and not once the product is completely developed and it is difficult and expensive to make changes.

Shift Left Testing helps in providing immediate feedback to developers to take action as soon as a bug is introduced. Thus attain a better quality of the product at speed at a reduced cost.

 

Why is it important?

  1. Bugs found early in the development cycle is easier to fix and verify
  2. Engage all your team members throughout the cycle
  3. Release faster by reducing the testing time towards the end of the cycle
  4. Reduce the gap between dev complete and test complete
  5. Better resource management
  6. Involve and engage everyone in the team

 

What to look for in Test Automation tools to implement Shift Left Testing:

Test Automation Tools play a major role in Shift Left testing. The tools must have the following capabilities to follow Shift Left Testing.

 

1. Less time and resources to get started

2. Integrations/In-built Test Management, Test Plan & Project Management to track the requirements in real time

3. Simplify the Test development approach making it easier and understandable for just anyone, making it possible to track and contribute to testing

4. Able to start the testing process right from design phase – Like BDD, TDD approaches. It should not depend on the application availability

5. Be able to test application components individually as and when they are ready (the Rest APIs, UI Components etc.)

6. Platform to collaborate and share the feedback and results immediately

7. Should’ve minimum programming knowledge requirement so that everyone can contribute

8. Flexible and dynamic test environments as per flexible testing requirements

 

These are some of the major aspects to look for in a Test Automation tool to implement Shift-Left testing. Depending on the development approach, the test automation tool may need to support more requirements.

 

Bottom Line

Test Automation must be involved in the initial stages of SDLC. This will definitely improve the quality and time to deliver the software product. However, Test Automation itself is not enough. Test Automation needs to be extended to enable continuous testing along with the Shift Left approach to meet the modern delivery standards of today.

Shift Left Testing is being implemented by many companies.

 

Testsigma offers Test Automation through Continuous Testing with a Shift-left approach and integrates test automation scripts with tools like Jenkins. Shift Left Testing can help organizations improve the test automation process throughout the delivery lifecycle and this is exactly what Testsigma does!

New era of Smart Test Automation

There’s been a shift from Manual Testing to Automated Testing in recent years.


As compared to Manual Test practices, Test Automation offers an improved test coverage and quality and allows for a speedy delivery of software into the market. However, with huge scripting and several other integrations, the automated testing process is not an easy one. It takes huge initial setup and ramp-up time that require huge investments and a long wait to see the outcome.

 

Thus, there is a need for a smart test automation framework or a tool that can bring all the resources together for better test management and increased test coverage at a low cost in less time.

With development becoming Agile and Continuous, Testing needs to keep up and this is best possible with the help of a Cloud based Test Automation process.

 

Such is our approach on cloud to test any software product easily anytime, anywhere!

A SaaS AI-driven test automation software for Web and Mobile applications to achieve continuous testing with a Shift-left approach, Testsigma addresses the shortcomings of existing automated testing tools that demand huge initial time and cost, high execution time, high maintenance, slow test script development, provide less automation coverage and require a longer payback time.

Let us see how Testsigma makes it to being among the top test automation tools on the cloud to make Test Automation Simpler, Better and Affordable.

 

 

Zero ramp-up time and cost

Test Automation requires scripting of tests to be performed before you can actually test the software which is rather time-consuming.

The time to ramp up the test automation process, the cost involved in selecting the right automated testing tools, setting them up and training the team, all of it is indispensable.

 

With cloud based Test Automation, our focus can be set on automated testing from day one. The systematic Behavior Driven Development style script development using natural language makes it easier for just anyone to write complex tests.

 

With Testsigma, you can get started with automated testing right away! There’s no setup or installation required. You can start testing your application with just any browser on any of your devices.

 

 

Test Development made faster using simple grammar

Choose your preferred test step or grammar from a list of available natural language statements or create your own personalized grammar to perform a particular test activity.

 

Testsigma uses simple natural language to write automated tests. Developers, Testers, SMEs, or just anyone can create and execute automated tests easily, without knowing any complex programming!

Let your manual testers take charge of automation testing with no additional programming knowledge.

Achieve better quality faster than ever with the help of functional testers for automation testing.

 

 

AI to Reduce Test Execution Time and Cost

Testsigma uses Artificial Intelligence to build stable and reliable tests faster and to speed up the execution and maintenance of automated tests.

The AI suggest improvements in test runs to include relevant or affected test cases to avoid failures due to dependencies and saves execution time and cost.

 

Testsigma uses ‘dynamic locator strategy’ and an intuitive UI to save the maintenance time and effort by 70%.

 

 

Increased Automation Coverage

Testsigma allows both manual and automated testing to avoid duplicate efforts and speed up the test process for increased test coverage.

Scalable, distributed execution options and testware management is a must to reduce feedback time and increase the test coverage across different platforms, operating system and browsers.

 

Testsigma supports automated testing for multiple application types and executes numerous complex tests on multiple devices both local and on cloud with different configurations providing a good test coverage.

 

 

Actionable Results

Cryptic test results will not help analyze and debug failures. Testsigma provides detailed failure reports with cross-links to rectify the errors.
There is no technical effort required to identify and fix a failure.

 

Actionable results will help the team fix all issues immediately without much technical effort. The AI identifies other tests which may as well be affected and tries auto-correcting these automated tests to some extent.

Identify potential failures upfront and save execution time and cost with Testsigma.

 

 

Team Collaboration

There should be a proper communication between Manual and Automation testers and within the Automation Testing team to increase the reusability and avoid duplicate efforts.

 

Testsigma provides a single corporate account and multiple logins for all your team members. You can share updates, reports, plan, etc easily with all those who can contribute to the project.

Prioritize your tests, track progress and share valuable feedback irrespective of where you are!

 

 

Test Management within the automated testing tool

For effective automated testing, there should be a proper plan for test coverage and a complete record of your test progress.

 

Testsigma provides Test Management within your automated testing tool for Agile and Continuous Delivery teams.

All your resources can be managed within Testsigma with unique settings for every Project.

 

 

Test Data Management

Test data are a major part of Test designing.

Many different inputs might be necessary to analyze the tests, positive or negative. Testsigma supports multiple tests data types that may be used across versions of the same application, across multiple execution environments, to invoke data returned from custom functions and so on.

 

Some test data types that Testsigma supports include:

Parameter Test Data(scope is limited to a single application version), Global Parameter Test Data(scope throughout a Project), Run-time Test Data(at the time of Test case execution), Function Parameter Test Data(returned from custom function) and Random Test Data(random data for test case executions).

 

Testsigma also provides Enterprise-class test data management with support for import from multiple test data sources.

 

 

Parallel Test executions on cloud and local devices

Testsigma provides a unique platform for parallel execution of tests which otherwise require multiple platforms and environments.

Run your tests in parallel, sequential and remotely across different browsers, operating systems and devices to increase test coverage and to reduce feedback time.

 

Distributing the tests across multiple test environments can reduce the feedback time considerably and help analyze the build quality faster.

You can also execute your tests on local devices if you do not wish to execute them on the cloud. With any device, it would be easy to test an application in very less time!

 

 

Cross Browser/OS/Device Testing

Choose test environments to execute tests from thousands of devices available on cloud!

With the wide range of devices, OS and browser versions of web and mobile phones with different screen sizes and orientations available, it is a complex task to test the working of an application in all of these device/browser combinations.

There is a need for developers to optimize their applications for each of these devices for every version.

 

Testsigma can easily set up and manage all of these device/OS combinations and is highly cost-effective having to only pay for the desired devices in use. ‘Testsigma Lab’ makes it possible to run your tests on thousands of devices with different operating systems, browsers, and devices available on the cloud.

 

 

Less Maintenance effort

Automated tests should take very less upgrade and maintenance efforts for your application changes. As changes in the application increases, maintenance efforts further increases.

 

Testsigma adopts a simplified and automatic approach with less manual intervention. There are no Maintenance or product Upgrade tailbacks.

 

 

Short wait to see ROI

There are various cost factors involved in Test Automation like the selection of the right automated testing tools, framework development, test data management, cost to maintain test environments, integration with test management tools and other tool integrations.

 

With the right Test Automation method, ROI is sure but gradually.

You need to build, execute and analyze your automated tests right from day one to see ROI immediately and this is exactly what Testsigma offers.

 

Testsigma saves time and maintenance efforts to create reliable tests with a well-managed test data to see ROI right from the beginning, instead of years!

 

 

Learn more about this #SmartTestAutomation tool on cloud and join us on our journey towards Smart Testing!

Schedule a demo or reach out to us at support@testsigma.com to know more!

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AI-Driven Test Automation

We are at the edge of making AI-powered self-driven cars a reality, why not AI in Test Automation where 80% of the testing tasks are repetitive and can be automated!

Testing is exhaustive and time taking to cover in depth. Going forward in a fast-paced world, Automated Testing or Testing as such has to evolve to address today’s complex requirements faster and better.

 

There is a need to automate at least 80% of the repetitive testing tasks while the remaining 20% can be Manual. With development teams progressing towards Continuous Testing, the Test Automation technique needs to get smarter to be more effective in the delivery pipeline.

 

In the era of AI being applied everywhere to make things easier and smarter, test automation is no exception. The new era of Smart Test Automation has a lot of scope to become much better with AI.

 

Applying AI in Test Automation

 

These are some of the areas we think AI can be applied in test automation:

 

1. Test Runs and Executions

Creating a test run with all affected and relevant test cases to cover the business risks for every change in the application is a continuous and repetitive task that require huge efforts.


While developing and testing new features, it is also necessary to make sure that the old features work as expected. Creating a test run with both the new and old tests that cover all business risks is laborious. Also, it is not ideal to test everything each time considering the cost overheads. Thus, creating a test execution is a critical process.

It involves lots of resources and collaboration efforts to cover all the corner cases and to optimize a test run without leaving anything uncovered.


As the demand to release software applications faster increases, one may need to create effective test runs faster. It is unlikely that it be a 100% effective with humans. 
Not everyone may know the application end to end to identify the affected test cases correctly. Even if possible, it would be difficult having to go over every test case manually in short delivery cycles. It is only admissible if some test cases are left out.


This is where machines come to rescue. With the relevant information in a specific format on what is developed and what is to be developed, machines can easily create plans automatically. This avoids possible human errors.
With AI in Test Automation, creating test run and executions are made faster and more robust checking for application quality continuously.

 

 

2. Test Case Maintenance

In Test Automation, Maintenance is a significant and continuous effort. Whenever there is a change in the application, there is a need to retrace the affected automated test cases to modify the tests. It may not always be just one or two straightforward tests that need an update. There may be several direct and indirect automated tests associated with a change, not just one.
Every change needs to be identified and checked to see if maintenance is required. As changes in the application increases, maintenance efforts further increases.


In GUI Automated Testing using a centralized repository, maintenance efforts can only be reduced to some extent. This is not enough for today’s development practices. We need more sophisticated and intelligent approaches not just to change the directly impacted tests but also reduce the maintenance efforts required overall. More importantly, to make automated testing better reliable and stable.


Instead of static locators to identify an element in UI, dynamic locator strategy can be used to identify elements that make the tests more robust and reliable with reduced maintenance efforts.


With AI, for any change in the application, we will be able to identify all the tests that are directly or indirectly associated with change, AI in Test Automation allow tests to be autocorrected to some extent, maintaining all the affected tests automatically in one go!

 

 

3. Learn from From Test Failures

When a failed test used to pass, testers took some time to identify the root cause of the problem before being able to fix it. And, if the failure had happened due to a system level change or a change in the application behavior, the team would be looking for other tests that might have been affected instead of fixing the problem. This involves a needless investment of time and manual effort.


Even if they ran all their tests in such cases, they would still need to debug all failed tests manually one at a time before filtering similar failures.
In such scenarios, with all the information available, we can think of using machines to identify similar failures in other tests without running all the tests every time and not having to debug each failed test.


Once issues of this kind are resolved, we may execute other doubtful tests or the tests altogether which gives you a lesser number of failed tests to debug, if there remains any.


With AI in Test Automation, a failed test will help us identify and fix similar tests that may have been affected, automatically. We can analyze how a failed test performed over a period of time, what caused that test to fail and use the same information to identify other tests which might as well have been affected.
Also with the test result history, AI quickly comes up with test runs to execute for upcoming releases allowing more stable releases faster.

 

 

4. Test Development

In a Test automation project, Test development is an area that requires huge initial effort and time and highly skilled resources. Some AI-based potential solutions to reduce these efforts are:

 

1. Create automated tests or test scripts directly from requirement documents using Natural Language Processing techniques

2. Completely autonomous, given a UI based application, we can automatically navigate through all the pages and create automated tests to cover all possible scenarios.

3. Train Test Bots to perform certain actions with input data. This may look similar to BDD, but with AI applied in Test Automation, it’ll be smarter and better.

4. Visual recognition for GUI applications like Google’s image recognition that use visual images to look for changes in the page.

 

These are some of the potential areas to get started with AI in Test Automation. Eventually, AI would be able to create, execute and maintain automated tests with human supervision rather than with human intervention.

 


AI-driven Test Automation tool, Testsigma has taken a step towards creating a #SmartTestAutomation platform using AI in Test Automation in the areas discussed above. We understand that the same old legacy automation testing tools and practices are not sufficient today with the advent of development practices like Agile and DevOps. With a need for better automation testing tools, there is a lot of scope for AI in Test Automation.


In the coming days, we may see much more employing AI to address some of the major problems in Test Automation to make Automated Testing faster, better and cheaper for the next generation like Testsigma did from its day one.

 

#ThinkSmart & Join us on our journey towards #SmartTestAutomation today!

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Essential Elements of Test Automation

With increasing demands and complexities in today’s Agile and Continuous Delivery practices which aim to release quality software products faster, Automated Software Testing or Testing itself cannot be left behind.

The World Quality Report states some of the challenges in Agile and Continuous Delivery environments as being overly dependent on Manual test practices, an increased Quality cost and time to market.

In order to address these shortcomings, a shift towards Automation Testing is required.

Though not all tests can be automated, one cannot rely completely on Manual test practices anymore for fast-paced application delivery needs.

 

We need to #ThinkSmart towards #SmartTestAutomation to deliver quality software products faster. This can be made possible with proper test automation strategies to increase test coverage faster at a reduced cost.

 

While we write scripts to test an application, Automated Software Testing is not just about programming the test actions. It is an ecosystem of various components like the team, tools, test environments, proper management of test data, integrations that help deliver quality software faster. Some important elements that are needed to start Automated Software Testing include:

 

 

1. Team & Ramp-up Time

Automation testing is a different approach using test scripts as compared to Manual Testing to test faster while reducing quality costs with increased test coverage.


Writing test scripts is a prolonged process which requires continuous effort and time from the Automation Testing team until which the Functional Testers might need to continue Testing applications manually. Thus, a dedicated team is required for Automation Testing who can quickly adapt to various technologies that are needed depending on the test application type say, Selenium for web or Appium for mobile applications. This means the team should have expertise in multiple technologies for multiple application types. If required, the team must be trained on the application, the tools and technologies to be used in Automation Testing.

 

 

2. Automated Software Testing tools

Automation Testing tools need to be chosen such that it meets both technical as well as business expectations and suits the budget. Today’s business requirements demand support for different application types and not just one. There may be applications that are Web-based, mobile, desktop or API based. Each application type would require different sets of tools and one tool that suffices every application type hardly exist.


The team should be familiar with the testing tools being used and should require only a short learning curve for beginners.
It would be a good idea also to consider the requirements of an upcoming project while selecting the tools to reduce extra cost inputs.

 

 

3. Test Automation Framework

A strong framework improves the test structuring, reusability, and maintenance of code and also help reduce the time and effort required by testers to create and maintain Automated tests. A framework is critical as it brings multiple tools like Test Management tools, Continuous Integration tools, Reporting tools, Collaboration tools and multiple resources together to make Test Automation effective. There are different framework types available that suits your development process like Linear, Module-based, Data Driven, Keyword Driven, Hybrid.

It is essential to have one solid framework that supports every application of your Project. Test development, Maintenance of test scripts and Execution efficiency are heavily dependent on the Test Automation Framework that you choose and is critical to the success of the Test Automation process.

 

 

4. Integrations

Integrations with external tools make Test Automation complete. It is essential to view requirements, test results, identify and track bugs systematically.

 

Common Integrations for automated software testing are integrations with Bug Tracking/Reporting tools (say, Bugzilla or JIRA), Test Management tools like JIRA or ALM or Continuous integration Tools like Jenkins or TeamCity. These integrations will make the Test Automation process complete and enable Continuous Testing. Without these, only a part of the whole testing process is merely achieved.

 

Some tool integrations that are important for test automation are:

i. Test Management Tool

Not every test case can be automated. Some tests have to remain Manual especially, to check usability. Even though the tests are automated, it is necessary to document the functionality that the automated test is supposed to test. Your automation tool may not support this beforehand.

 

For this, dummy manual test cases can be written in your Test Management tool and be automatically integrated into your Test Automation Framework or Automated Software Testing tool. This brings together both Manual and Automation Test cases in a common platform to avoid redundant efforts and to know the test coverage across Manual and Automation Testing at any point of time.

 

ii. Bug Tracking Tool

A bug ignored at the initial stages would be more expensive to fix at a later stage, worse, when brought back from Production. The qualified failed tests should be collected and reported automatically into the Bug Tracking tool.

 

iii. Continuous Integration (CI) Tool

Continuous Integration help developers get actionable feedback for every change in the build by running automated tests with near zero interventions.

 

Each build committed by a developer is verified by running the right set of automated test cases at the right stage automatically and continuously to analyze possible business risks at a very early stage.

 

Additionally, integrations with Collaboration Tools like Email or Slack that involves the Management, Developers, Testers, end users or anyone who can contribute to the project would make the whole development lifecycle more transparent and Agile. Anyone can suggest or point out changes, track progress and communicate better. A common platform would allow the sharing of execution results immediately for quick feedback.

 

 

5. Test Environments and Executions

Availability of realistic test environments is important to execute tests continuously. With growing number of end user devices, it is required to have enough realistic test environments for application testing. Also, having multiple test environments will help run tests in parallel for faster feedback and for Cross OS, Cross Device, and Cross Browser testing.

 

 

6. Reporting Tool or Framework

Proper reporting with charts and tables that are well explaining themselves give clear ideas on the test results. A detailed failure report as to what, when and why failed and how long it took to run is highly necessary for clear understanding and quick error correction. If the reports are better complimented with screenshots and videos, it would be easier for people working at different levels of the project to understand better and take appropriate action.

 

These are just some of the basic Requirements to check before getting started with Automation Testing. Based on the process and the application types there may be multiple other things to consider.

 

 

Conclusion

It takes significant time and effort to set the Test Automation ecosystem but highly essential in ensuring a successful Automated Software Testing process. The objective of automated software testing is to simplify as much of the testing effort as possible with minimum effort.

 

The right selection of automation tools, test processes, and the team are important players that make Automated Software Testing successful. Though it involves several requisites and huge initial investment to get started, Automated Software Testing efforts would pay off as effective ROI but, gradually.

 

Thus, a single platform is required to bring all resources together for better management and increased test coverage for faster results with near zero initial time and efforts. Such is our approach on cloud with an in-built ecosystem of all the essential requisites to Test Automation allowing the testing of Web, Mobile and Web services anytime, anywhere!

 

 

#ThinkSmart & Join us on our journey towards #SmartTestAutomation today!

 

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Extend Test Automation to enable Continuous Delivery

Testing is a critical and indispensable requirement in the software delivery process. However, Testing remains a bottleneck as it fails to keep up with today’s fast-paced development methodologies like the Agile and Continuous Delivery. Test Automation is the best approach to enable  Continuous Delivery.

 

But, Test Automation done with legacy tools and test processes to meet the increased complexity and pace of modern application development and Continuous Delivery are unsatisfactory.

 

Age old test methods and tools can impact the delivery speed and quality which in turn affects the cost of software development.

 

Data from the World Quality Report indicate the need to increase the level of test automation. The test process and tools currently in use are not sufficient to test an application early on, repeatedly and automatically.

 

With the current application delivery needs, one cannot wait until the end of the Software Release Cycle to get started with testing.

 

There would not be months or weeks to test but merely a few hours. Setting up the Test Automation eco-system itself takes up a lot of time.

 

It is not sufficient to run through Testing just before product delivery. It is necessary to attend to the changes being made to the software at the earliest best, in parallel, with Development.

 

A fully automated testing process has to be a part of the SDLC. If Testing is done beforehand, application flaws become evident as they are executed. Hence, its access to further stages of the development process can be prevented.

 

The sooner they appear, the better. It is easier to fix them with a less number of resources in a reduced time as opposed to its appearance at the final stages of the product delivery cycle.

 

 

Hence Continuous Testing.

 

Continuous Testing aims to cut down the testing time in the delivery pipeline and still achieve quality.

It extends the test automation process to address the complexity involved and to keep up with the pace of today’s continuous delivery needs.

 

Continuous Testing is the process of executing automated tests as part of the software delivery pipeline.
Continuous Testing help decide whether the release candidate is okay or too risky to be delivered while providing fast repetitive feedback associated with each release candidate.

This determines if the software is ready to enter the delivery pipeline. Each build committed by the developers is Continuously Integrated to find possible business risks at a very early stage.

 

To achieve Continuous Testing, automated testing must be integrated at the initial stages of the development cycle and not when the product is fully developed.

 

 

Key Elements to consider in Test Automation to enable Continuous Testing

Test Automation is imperative to achieving Continuous Testing along with equally important elements like the test process, team, culture change, etc.

 

Some of the key enablers for Continuous Testing include:

 

1. Shift Left Approach

Test Automation should not wait until the product is fully developed.

For this, the framework and automated testing tools should allow for writing automated tests alongside the development process.

The Shift Left approach in Test Automation ensures just this. Also, it should allow for automating various components such as back-end APIs and other micro services, testing each layer in parallel as and when they are ready for the continuous delivery pipeline.

 

2. Faster Feedback Time

Running each test over and again is time-consuming. It is impractical to run complete regression tests on each build every time.

Test Automation tools should be capable of executing different tests simultaneously and automatically on each build across multiple test environments providing faster feedback.

 

As an application changes, Test Automation tools and framework should allow the right set of tests that are interrelated to be executed at the right stage in the delivery pipeline.

This allows for faster feedback with appropriate action steps to be taken in order to ensure a smooth user experience. Executing multiple tests one after the other across different environments would be laborious, otherwise.

 

3. Traceability

It is highly important to understand the requirements of stakeholders and ensure those requirements are met. Managing requirements throughout the project lifecycle is a continuous process in the lookout for changes made in each stage, automatically.

 

It is necessary to integrate Test Automation tools with additional ALM tools to manage requirements associated with a particular version of an application, to track changes, to communicate and handle the Requirements throughout the testing process.

 

4. Test Prioritization

It enables developers to test smarter if tests are prioritized, re-executing only the affected ones based on the impact of change.

If Regression testing is done early on, there would be a delay in providing feedback, unlike Smoke Test. What tests would run best at what stage is an important factor to consider.

 

Test Automation tools and its underlying framework should be good enough to manage this, reducing the time and the number of tests by choosing the right tests for execution at the right stage while achieving the same risk coverage.

 

5. Team Collaboration

It is necessary to make sure that we get clear requirements before development starts.

The QA team should build a close relationship with Business Analysts and Developers to communicate the ambiguity in user stories. It would be a good idea to have a common platform to discuss, debate and assess the business goals for better clarity.

 

Test Automation tools should have a collaboration platform or means to integrate with such tools say, Slack. It would be an added advantage if it allows all of the team members for applying these changes automatically to automated tests.

 

6. Low Maintenance

Automated GUI tests undergo frequent changes and need sizeable rework every time.

With Agile and DevOps practices in place, there is need to extend Test Automation efforts which lead to heavy maintenance needs.

 

Through Continuous Testing, a low maintenance and need for less or no rework are aimed at. Test Automation tools and framework need to be good enough to maintain tests with hardly any effort, continuously.

 

7. Test Environment

There should be access to realistic test environments to run tests concurrently in a continuous manner anytime, anywhere.

A stable Test environment with valid test data sets should be available to run tests automatically throughout the delivery pipeline.

 

Inaccessible dependencies, poor test data management can cause timeouts and occurrence of false positives that provide inaccurate results.

Access to real-world testing environments become necessary to allow frequent test runs and this way, cut down the time to set up the test environment.

 

8. Risk Assessment

It is not just about achieving automated test results but analyzing the business risk involved.
Continuous Testing must assess the business risk associated with an application at any point in real-time providing risk-based feedback to help make better trade-off decisions.

 

9. Continuous Integration

Automation Testing should be integrated with Continuous Integration tools to run automatically once the build is ready.

All testing has to be part of the pipeline, which means that automation testers have to be familiar with tools such as Maven, Nexus, and Jenkins to name some. It is necessary to identify the right tests to run automatically on every build and if a test may fail, the results have to be integrated back into the pipeline triggering a failed build.

 

Companies embracing Continuous Testing consider Testing a continuous activity that does not begin prior to release.

A SaaS, AI-Driven test automation software, Testsigma is built to address all of these continuous testing requirements.

 

Testsigma aims to achieve Continuous Testing with a Shift-left approach to help web and mobile dependent businesses to reduce the cost involved in ensuring the quality of software while continuously releasing quality software products faster.

 

Testsigma uses AI to build stable and reliable tests faster and speed-up the execution and maintenance of automated tests and requires near-zero initial setup time, cost and ramp up time.

 

The AI features suggest improvements in test plans to include relevant or affected test cases,  uses dynamic locator strategy to save maintenance time and efforts by 70%.

Its sheer simplicity enables everyone write automated tests 5X faster using natural language, run tests on thousands of devices available on the cloud.

 

 

The Bottom Line

 The most powerful tool we have as developers is Automation”

Test Automation is the best approach to Testing and this is an undisputed fact. But how do we ensure timely deliverance of quality software?

The need of the hour is a transformation of automated test processes to keep up with the advancements in ensuring continuous delivery of the product. It is time we stopped relying on less efficient scripts.

 

Test Automation indicates whether a particular requirement is met or not whereas Continuous Testing curbs business risks. Both are important and should go hand in hand.

Today, Testing is not just an afterthought. Continuous Testing has emerged to match the Agile and Continuous Delivery standards. It is a systematic approach towards improvement.

 

One needs to perform test automation in a way that suits today’s complex application and continuous delivery needs.

We must advance towards Continuous Testing as it has rightly become a necessity in the fast-paced application development lifecycle to deliver faster without compromising on quality.

 

 

What Next??

#ThinkSmart & Join us on our journey towards #SmartTestAutomation today!

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