What is End to End Testing?
A proper introduction to end-to-end testing or E2E is due. As I mentioned, there are many testing processes and methods for an application during development.
However, most of them only focus on one aspect of the app or software. End-to-end testing is slightly different from your typical functional or non-functional tests.
Scratch all that for a moment. Think of the whole flow of your software from a user′s perspective (hence the reasoning behind the name end to end). Let′s assume that we′re talking about getting a user signed up to your site and getting them an account/identification.
In end-to-end testing, you would assess this whole workflow and ensure that everything runs fine in that test scenario. Moreover, it′s not only limited to testing your codebase.
Instead, it also tests all of the external dependencies — be it a library you′re dependent on or something else. Given this structure, end-to-end testing is also known as chain testing by many developers and testers.
These tests attempt to imitate real-life scenarios that a user may face. This replication of user experience and behavior makes it highly critical to ensure that the released build fulfills all expectations.
These tests are usually pretty chunky and require more time and resources to run (more on that later). First, let′s look at an example of what an E2E test may look like, at least if this is your first rodeo.
Why Should You Do End to End Testing?
E2E tests are large and chunky. They can be hellish compared to the baby unit tests or API call tests. And hence, the question of importance is a rather crucial one to ask here.
- Extended Test Coverage: E2E testing broadens the test coverage for your codebase. In addition to testing the application, it validates all of the third-party codes and dependencies. That′s essential to validate the whole flow of the product.
- Looking at It from a User′s view: Typical unit tests do a good job of validating small components, but they cannot emulate the position of an actual user. That drawback can overlook errors that would only be visible during usage. End-to-end tests manage to identify those errors by looking at the software from an end user′s perspective.
- Fewer Errors in the Production Environment: There is a chance of overlooking errors that may only be apparent during real-world usage. Furthermore, not testing everything can leave minor discrepancies undiscovered. End-to-end testing reduces that risk and results in a more stable and error-free build in production.
- Minimizing Cost and Time: For one, E2E testing has a more extensive code coverage, meaning it validates everything you need to validate at once (as opposed to only testing the parts of the code you have made changes to). Since this minimizes the possibility of having to debug the application down the line again, it saves you money and time in the long run.
- Consistency in User Experience: E2E testing covers everything from the front-end to the back-end for many scenarios and use cases. All of the scenarios go through a similar testing standard, including the integration with other applications. This streamlines the user experience and makes it more consistent.
When Should You Do End to End Testing?
The when of end-to-end testing is quite crucial. These chunky tests take time to design, script, and run. Therefore, knowing when to do end-to-end tests can make the whole process more efficient.
The Testing Pyramid
Typically, you′ll find a few tests done multiple times during the development cycle.
A helpful bit, in this case, would be the notion of the testing pyramid. It talks about pragmatically doing things — finishing the smaller and more focused tests first and climbing up the higher complexity and scope ladder.
For example, we should always do a unit test before moving on to integration testing. The rationale is straightforward — unit test verifies the smallest units of code in the software′s codebase, and finding issues from a single unit would be very quick.
Following that same rationale, E2E testing should start after tests with lower coverage, but higher efficiency and speed are done. Otherwise, the E2E test would take more time, and resolving issues would take longer due to the broader test coverage.
We may not similarly do things as we did with development models like Waterfall. Nevertheless, we can still utilize that same testing pyramid principle to avoid redundancies and inefficiencies.
How Does End to End Testing Work?
The concept of End-to-End (E2E) has gained momentum in the last few years as a lot of IT companies are moving towards comprehensive solutions that touch every aspect of the testing life cycle, i.e., test planning, test design, test execution, and results analysis.
End to end testing ensures all integrations work together and evaluates the software from the end user’s perspective by simulating and validating real scenarios. In a nutshell, end to end testing is a great way to verify whether your app is working as expected, taking into account all of its components.
Who Does End to End (E2E) Testing?
In this messy who does what world of software design and development, things are done in many ways. But let′s try to answer that question holistically.
Typically, QA professionals are the right people to get the E2E testing done. That′s not just the case for an end-to-end test — they are the usually right people to get most software tests done. But that doesn′t always have to be the case.
Do Developers Do E2E Testing?
Now, it may not sound feasible for a small team to assemble a whole QA team. We see that even the devs sometimes do end-to-end testing in many cases. Many companies are now getting the developers to do it by default, regardless of their size.
There are opinions for and against this idea. Here are some reasons why people don′t like it:
- The first reason is that these are the same people who wrote the codebase for your software. That introduces the possibilities of a few things — one; they typically won′t look at things from an end user′s perspective, which is crucial for these tests. Secondly, that position may open them up to personal biases (even though they may be unintentional). Therefore, having a neutral perspective on the whole thing can be helpful.
- Another aspect is that these devs are already bearing a huge responsibility. Adding even more stuff to that burden is probably not the ideal step. It also reduces your team′s efficiency in terms of getting the build out there as soon as possible (remember the crunch days?). The reason is straightforward — the devs would be spending a lot of time on QA testing.
However, there are arguments for devs doing these tests as well. That′s partly because they know the codebase and every little intricacy within it. Another reason is that running end-to-end tests can give them a more significant incentive to do an even better job of writing better code from the very beginning. Regardless of the opinions, it′s evident that while QA professionals are one of the best people for E2E tests, the options aren′t limited.
End-to-End Testing Best Practices
The end-to-end testing process is a part of every SDLC. However, testers rarely strive to follow the best practices that ensure optimum output after running e2e tests. Either they lack the time to focus on these techniques or do not know them.
Let’s put both these issues, along with many others, to rest with the below-listed best practices for end-to-end test automation.
- Keep a list of all the functions, product features, UI elements, and unique characteristics of the software handy to avoid missing out on thorough testing.
- End-to-end tests come after unit testing and integration testing are complete and passed. Follow the correct sequence of SDLC.
- If any issues are found in a single component or even the complete product setup, re-run the e2e tests.
- Keep in mind that end-to-end testing ensures a seamless user experience for end customers.
- Perform the testing process on different environments before completely moving the code to production.
- Do not forget to record the accurate, detailed data of the test to share it with the concerned individuals and debug the origin of the issue, if any.
Benefits of End-to-End Testing
Once you follow all the best practices to the dot, these are the benefits that you will observe:
- Confirms the health and quality of the overall product and its components after integration.
- Enhances user experience by improving the UI, functionality, and data flow between multiple software modules.
- Helps to identify and fix the issues faster when followed properly as a part of SDLC.
- Running e2e tests before moving to production results in fewer bugs encountered by the users.
- Properly conducting automated end-to-end testing supports covering the entire system and improving the test coverage.
- Validates the performance of the system in real-world scenarios and reduces the instances of defects in production.
End-to-End Testing Life Cycle
End-to-end testing is a comprehensive approach that tests an entire application flow from start to finish to ensure that all components work seamlessly. The end-to-end testing life cycle consists of several stages, which are described below in more detail:
Planning: In this stage, the scope, objectives, and resources for end-to-end testing are defined. This includes identifying critical paths and dependencies, as well as determining the testing approach and techniques to be used.
Test Design: In this stage, test scenarios and cases are developed based on business processes. Input data and expected outcomes are also specified. This stage is critical, as it ensures that testing is thorough and covers all possible scenarios.
Environment Setup: In this stage, the test environment is configured to closely mirror the production environment. This involves setting up databases, servers, networks, and other dependencies. The environment should be set up to ensure that it is stable and reliable.
Test Execution: In this stage, end-to-end test scenarios are executed, and the results are monitored and logged. This stage involves validating that the application works as intended and that all components are integrated correctly. Any issues or failures are identified, and their severity and impact are assessed.
Defect Logging: In this stage, defects and issues found during test execution are recorded. This stage also involves prioritizing the defects based on their severity and impact. The goal is to ensure that the most critical defects are addressed first.
Defect Resolution: In this stage, developers resolve the identified defects. The fixes undergo testing to ensure that they do not introduce new issues. This stage is critical to ensure that the application is stable and performs as expected.
Regression Testing: In this stage, previous tests are rerun to ensure that new changes have not affected existing functionalities. Regression testing is critical to ensure that new changes do not break any existing functionality.
Reporting: In this stage, comprehensive reports are generated that detail test results, including pass/fail status, defects found, and overall test coverage. This stage helps stakeholders understand the testing process and the quality of the application.
Sign-off: In this stage, stakeholders provide approval for the application release based on test results and stability. This stage is critical to ensure that the application is ready for release and meets the desired quality standards.
E2E Testing Methods
Here are the different types of E2E testing methods that are mostly used by QA teams to perform end to end testing:
- Horizontal E2E testing method: Horizontal E2E testing method is the most common testing method that occurs horizontally across the context of multiple applications and in a single ERP application. It involves verifying each workflow through each individual application from start to end.
- Vertical E2E testing method: In the vertical E2E testing method, the testing is done in layers, i.e., in sequential, hierarchical order. It is generally used to test critical components of a complex computing system that doesn’t involve users or interfaces.
Types of End-to-End Testing
Business Process Testing: This type of testing is used to validate end-to-end workflows, ensuring that all business processes function correctly.
Scenario Testing: This testing evaluates real-life scenarios, simulating how users interact with the application to identify any issues or deficiencies in the system.
Data Migration Testing: This testing ensures that data is migrated correctly across different components, verifying data integrity and accuracy.
Integration Testing: This testing verifies seamless interaction between different modules, systems, or services to ensure that the system is working properly.
User Acceptance Testing (UAT): This type of testing validates if the system meets user requirements and expectations, ensuring that it′s ready for deployment.
How to measure End-to-End Testing?
Suppose you are done with defining your testing parameters and listing down all the components to check. Next, you have followed the best practices to execute the end-to-end testing process. The results are here, but how do you understand and measure them to improve product quality? Here’s the approach you can take:
- Test case preparation: Develop tests that cover the maximum area of the product, including the non-functional, performance, and GUI features. Both positive and negative test cases should be prepared with a focus on validating the minute details of the software.
- Re-run important tests: Small updates in a single module can introduce issues in the overall system. Re-run the tests weekly or after the new function is released to ensure the product quality stays intact.
- Assess the test coverage: Measure the percentage of the application’s functionalities covered by end-to-end tests to ensure comprehensive testing across all critical paths and user journeys.
- Defect details: Track the percentage of fail/pass tests to assess the overall stability and reliability of the application under test.
- Record every issue: No matter if the identified problem is minute or huge, record every issue to debug and resolve it before being detected by the end-users.
End-to-End Testing with Testsigma
One of the most sought-after features in today’s test automation industry is the use of AI and low-code platforms. Testsigma fulfills both these criteria as one of the leading end-to-end testing platforms that automates web application testing, mobile app testing, and API testing. It enables testers in the test creation process through the use of NLPs and an intuitive interface.
What’s more is that Testsigma is available on Cloud and easily integrates with CI/CD, bug management, and task management tools to complete your tool stack and become an integral part of your testing ecosystem.
Let’s look at Testsigma in action!
Perform End-to-End Testing using Testsigma
Automated e2e testing consists of many parts, such as developing the tests, selecting the test environment, recording and analyzing the results, and sharing the findings with the right individuals. Testsigma takes care of all of these segments as a full-fledged end-to-end test automation platform.
Test Case Creation
Building test cases is a simple and straightforward process in Testsigma. Pre-defined NLPs are available to write tests in plain English and define the test steps for every validation. You can either manually write the test case or use the record-and-playback option to create tests.
Test Lab/Device Selection
For every end-to-end testing process, the tester must be able to select their preferred OS and device to replicate the actual setup of end-users. You can select the test lab, OS, and device, including mobile platforms, to run tests for every function.
Test Execution
Once you select the test environment, you can run and record the output, which includes screenshots and video. Test execution using Testsigma also offers the debugging and record option, which allows you to easily pinpoint the issues in the application under test. Debug on a device(local or hosted) and record the steps as needed.
This video further explains the process in detail.
Defect Reporting
Only running the tests and having a few screenshots of the test results do not promise a quality product. You need to be able to track, report, and share the identified errors with the concerned individuals and stakeholders.
Head over to Testsigma integrations to enable integrations with popular and most-used Bug Reporting tools. The option is available under Settings.
Plenty more integrations with CI/CD tools, product management tools, test labs, and collaboration tools are available.
Record the Results
Test results are available on the right-side panel, along with relevant images and video that can be referred to later to resolve the errors. Clicking on More details available on the results screen will get you the below pop-up with a detailed analysis of test case execution.
Common Tools and Frameworks for E2E Testing
The automated testing market is growing more and more saturated every day, and we’ve got tons of options to pick from. Here are a few of them:
Cypress
Since its inception, Cypress has managed to gain a considerable amount of popularity among testers for its unique design. Unlike most of the other tools here, this one focuses entirely on end-to-end testing. This tool is open-source, and it has been developing pretty quickly.
Writing tests with Cypress is pretty effortless, and it doesn’t require any external dependencies either. It supports frameworks like Angular and React flawlessly and supports cross-browser testing. Devs who follow a test-driven development approach like this tool because of its real-time capability.
There’s one caveat: it doesn’t work on Safari yet. That can be a bummer for a lot of testers.
Cucumber
We’ve got a testing tool that focuses on BDD (behavior-driven development). This is another open-source tool, and it’s written with Ruby. One of the best things about this tool is its simplicity and ease of usage.
It uses a language called Gherkin for test scripting. The fun bit about this language is that it’s close to writing tests in English. As a result, even non-technical testers can learn to write the tests with Cucumber pretty quickly.
Selenium
Selenium is one of the most well-known software testing tools out there. It has been around for a long time, and you can find packages for a plethora of languages, including JavaScript, Python, Java, and many more. This sort of versatility is very handy.
Furthermore, it has a long list of functions, making it easier for you to test all sorts of case scenarios. Selenium’s test coverage is pretty impressive for that reason. It also allows for parallel execution, which is beneficial for extensive and frequent tests such as E2E tests.
Testsigma
Unlike Cypress, Testsigma covers a broader range of software tests (obviously including end to end testing). With its scalable automated testing, you can even integrate the testing between different parts of your application.
It allows for both cloud and offline deployment, which improves accessibility. The usage of AI also means that little changes won’t break the test. This tool also supports cross-browser testing and parallel execution. It’s also a suitable option if you go for data-driven testing.
Read Here - End to end testing tools
End to End Testing in Agile
E2E testing has made itself a crucial part of every little sprint when you’re developing in agile.
Typically, we focus on a single unit or part of the software during each sprint. While that does mean that we’re working on the codebase of a single component or sub-system, it does not mean that it won’t affect the rest of the application. Therefore, it’s paramount to test whether the rest of the product’s workflow is running fine.
That’s where end-to-end tests can come in to save the day. It’s undoubtedly the efficient way to ensure that the whole system maintains the flow the way you want.
End to End Testing Software: Key Features
End to end testing is a methodology that tests the workflow of an application from beginning to end in real user scenarios. And end to end testing software provides that platform for the QA teams to use this methodology to verify the functionality and performance of their applications. Here are some of the prominent features of an ideal end to end testing software:
- User interface: A clean and organized user interface that is easy to navigate
- Usability: Allow your team members at any level of expertise to streamline their processes without any fuss
- Code-less test execution: People with no coding experience should be able to write, execute, and maintain test cases easily
- Cross-platform testing: Allow you to test your application across a wide range of platforms and devices.
- Simple codebase: Tools having a codebase should provide a simple codebase that helps developers to integrate with different frameworks and libraries.
- Value for money: Should cover all the relevant features at a reasonable cost
Challenges of End to End Testing
- Flaky Tests: Test flakiness is a common issue with E2E, meaning the test may fail after succeeding without making any changes to its code. What makes it worse is that the vast nature of these tests makes it tougher to identify or isolate the root of the issue. Continuously tracking the failures in test cases can help you identify and minimize these.
- Maintenance: Given how extensive E2E tests are, they tend to be pretty huge. That makes it challenging to maintain the test suite over time. It does help if the testers keep the test suite lean, but it still gets tough to maintain (especially when you′re adding or removing test cases).
- Sluggishness: E2E tests have managed to build a reputation for being slow. That′s entirely normal, considering how they validate the whole workflow and test every application component. Nevertheless, a slow test can hurt the efficiency of the test and may create bottlenecks. Using tools that can run tests in parallel can help cut the time down. Utilizing stubs and mocks can also be a reliable way to save resources.
- Integrating Multiple Tools and Systems: End-to-end tests have to connect to a whole host of applications. For instance, a typical E-Commerce platform would have CRM tools, tracking systems, payment gateways, or shipping services. In addition, the tests will be run on multiple platforms and browsers, which is also something you have to account for. This integration between many platforms and tools can be tricky.
- Complexity of Systems: In modern applications, multiple interconnected systems, APIs, and databases need to function seamlessly. Ensuring that all these components work together flawlessly becomes a challenge due to their complexity.
- Data Management: Managing realistic and diverse data sets for end-to-end testing can be cumbersome. Ensuring accurate data at each stage of testing, including edge cases, is vital.
- Test Environment: Setting up an environment that accurately mimics the production environment can be difficult. Variations in configurations and network conditions may lead to inconsistent results.
- Dependency on Third Parties: If the application relies on third-party systems or services, it becomes challenging to control their behavior, leading to potential disruptions during testing.
- Execution Time: End-to-end tests involve multiple steps and interactions, making them time-consuming. Waiting for all scenarios to execute and validate can slow down the testing process.
- Identification of Root Causes: When failures occur during end-to-end testing, identifying the exact root cause can be complex due to the interconnected nature of systems.
- Test Data Consistency: Ensuring consistent test data across different test environments and cycles is challenging. Mismatched data can lead to false positives or negatives.
- Scalability and Performance: Testing the application’s performance and scalability under varying loads and conditions requires careful planning and resources.
- Feedback Loop Delay: Longer test execution times and complex debugging can delay feedback on code changes, affecting the agile development cycle.
- Resource Allocation: Allocating resources and infrastructure for end-to-end testing can be resource-intensive, impacting other testing phases.
What is the Difference Between E2E and Regression Testing?
The difference between regression testing and end-to-end testing is that while regression testing ensures that what worked yesterday still works despite any modifications in the SDLC, end-to-end testing involves testing a business process as a whole from start to finish.
Let′s have a look at End to End testing vs Regression testing key differences:
| End to End Testing | Regression Testing |
| End-to-end testing is used to ensure that the software functions correctly from start to finish | Regression testing ensures that software changes have not caused any new bugs. |
| End-to-end testing can be more time-consuming as it tests the entire software system from start to finish | Regression testing is done more frequently than end-to-end testing. Which also consumes less testsigma_other_tools |
| End-to-end testing, on the other hand, is a much more comprehensive testing methodology that tests all aspects of the system from start to finish. | Regression testing is typically done after a code change to make sure that the code change did not break any existing functionality. |
| Workflow is the main focus in end-to-end testing | It concentrates on making sure that new developments don′t break already existing capabilities |
| Checks the efficiency of business operations by identifying problems with integrations or subsystem Tests replicating the end-user experience in the real world are simulated in the production environment. | Verifies the smooth operation of business processes by verifying that system updates do not affect the functionality of legacy code Tests are stimulated in the pre-production environment |
| Throughout the SDLC, tests are regularly executed | Tests are conducted only after a programming modification or release |
| There must be generated or new test cases | There are existing test cases; they will be repeated |
The broader range of testing coverage is a significant and shared benefit of end-to-end and regression testing. The most important lesson for businesses considering using any of these testing approaches is that, despite the abundance of benefits, each has a considerable amount of maintenance baggage to deal with.
End-to-End Testing vs Functional Testing?
| Criteria | End to End Testing | Functional Testing |
| Scope | Encompasses the entire application flow. | Focuses on individual functions or components. |
| Objective | Validates system behavior in real-world scenarios. | Verifies specific functionalities or features. |
| Complexity | Generally more complex due to involvement of multiple components. | Less complex as it deals with isolated functionalities. |
| Dependencies | Identifies and tests interdependent components. | Does not consider inter-component dependencies. |
| Coverage | Offers broader coverage of the application. | Provides specific coverage based on functional requirements. |
| Execution Time | Tends to have longer execution times due to the comprehensive nature. | Typically has shorter execution times for targeted functionalities. |
Conclusion
In this age of complex software design and quick iterations, end-to-end testing is one of the most efficient ways to keep your application running flawlessly. While these tests are comparatively chunkier and require more work to write, they′re irreplaceable if you want to ensure a quality experience for the end-user.
Frequently Asked Questions
What is end-to-end testing in Agile?
What is an example of end-to-end testing?
Which test can be supplemented from end to end (e2e) testing?