Low Code Test Automation Trends to Look Out for
As the software development industry continues to evolve and become increasingly complex, organizations must find new ways to streamline their testing processes. Low-code test automation comes into play here. These platforms provide an efficient and cost-effective solution to test automation, empowering engineering teams to create and execute test scripts without extensive programming knowledge. In this post, we will explore the low-code test automation landscape , including the latest trends and challenges.
Table Of Contents
- 1 The State of Low Code Test Automation
- 1.1 Trends in Low Code Test Automation
- 1.2 Challenges in Low Code Test Automation
- 2 Conclusion
- 3 Suggested Readings
The State of Low Code Test Automation
In a poll conducted by Gartner, 88% of leaders say their quality assurance practices are ineffective. Bridging the gap, adopters of low-code/no-code test automation solutions have witnessed a 3X-7X reduction in development & deployment time, a 3X-5X reduction in development costs, and a 30%-35% increase in ROI.
Low-code test automation has come a long way in the past few years, with many platforms now offering advanced features and capabilities. These platforms enable quality teams to quickly build and execute automated tests with minimal coding, helping improve the speed and accuracy of software testing.
One of the major advantages of low-code test automation is its ease of use. These platforms provide a user-friendly interface that allows even non-technical team members to create and execute tests. This means that teams can automate their testing processes without relying on dedicated automation engineers, freeing up valuable resources and reducing the time and cost associated with testing.
Low-code test automation also provides greater flexibility in testing scenarios, with teams able to create and execute tests across a range of devices, browsers, and operating systems. This makes it easier to identify and resolve issues before they impact end-users, ultimately improving the overall quality of the software.
Trends in Low Code Test Automation
As the low-code test automation landscape continues to evolve, several emerging trends are worth paying attention to. Here are some of the most significant trends to keep an eye on:
AI and Machine Learning
According to Gartner research, companies that use AI engineering methods to create and manage flexible AI systems will perform better than their competitors in deploying AI models faster and more efficiently by at least 25%. Artificial intelligence (AI) and machine learning (ML) are increasingly being integrated into low-code test automation platforms, enabling teams to create more intelligent and sophisticated tests. AI and ML can help identify patterns and trends in testing data, allowing teams to make more informed decisions about where to focus their testing efforts.
AI and ML can also help identify missed opportunities in testing and uncover parts of your software that the automation suites have not touched. You will see tools get better at identifying incremental changes to your software and auto-transform test cases to reflect the new nature of your product
Cloud Based Testing
With the rise of cloud computing, it is no surprise that cloud based testing is becoming increasingly popular. By 2025, 70% of organisations will be running functional tests in the cloud. A majority of the low-code test automation platforms are increasingly offering cloud-based testing options, allowing teams to execute tests across a range of environments without the need for extensive infrastructure.
Integration with CI/CD Tools
Continuous integration and continuous delivery (CI/CD) have become essential for modern software development, and low code test automation platforms are starting to integrate with these tools. These integrations enable quality teams to automate their testing processes as part of the CI/CD pipeline, improving efficiency and reducing the risk of errors.
Testing needs will dictate functional testing flows are integrated with API Testing for each release cycle to increase test coverage for various use-case and scenarios. Low-code automated API testing will provide an accessible, efficient, and cost-effective testing solution for APIs, enabling a wider range of team members to participate in testing and providing a more comprehensive testing process and increasing the overall test coverage.
Quality teams are increasingly being given ownership of the data quality of their systems. Teams will need to cover data validation, and accuracy and ensure no unknown changes to database systems are made over development and release cycles.
Low-code Database testing tools will enable a broader range of team members to participate in testing, including testers, business analysts, and product managers. This can result in faster testing and better test coverage, as more team members can provide feedback on the system.
Non-Functional Automation Testing
As systems and software scale, non-functional tests like accessibility, performance, load, stress and security testing will take the centre stage. It will become mission-critical to ensure business continuity, handle spikes and increased traffic and repel security attacks using plug-and-play low code automation systems for every release cycle.
Challenges in Low Code Test Automation
While low code test automation offers many benefits, there are also some challenges that organizations need to be aware of. Here are some of the key challenges to consider:
Low-code test automation platforms may have limitations when it comes to customization, which could be an issue for teams with more complex testing needs. Organisations should carefully evaluate the capabilities of a low code test automation platform to ensure it meets their specific requirements.
Thankfully, Testsigma is open-source and available for anyone to customize. Testgima cloud allows customers to create and plug in their custom actions via add-ons.
Integration with Legacy Systems
Organizations with legacy systems may find it difficult to integrate a low-code test automation platform, as these systems may need to be compatible with newer technologies. This could limit the effectiveness of the platform and make it more difficult to achieve the desired level of automation. Organizations will have to invest in kicking off small POCs to ensure they move with the world to a low-code setup very soon.
As with any technology, there are always security concerns when it comes to low-code test automation. Organizations need to ensure that the platform they choose is secure and that any sensitive data is properly protected.
Performance at Scale
As larger enterprises start moving towards low and no-code solutions, they will need large scalable and performant systems that support the speed and agility they need. Frameworks will have to compete with an organization’s internal frameworks and allow organizations to extend these solutions to their unique needs.
According to Gartner, by 2025 70% of organizations will be adopting some form of low-code technologies; Low-code test automation offers a range of benefits for organizations looking to streamline their testing processes. With the latest trends in AI and machine learning, cloud-based testing, and integration with CI/CD tools, low-code test automation is becoming an attractive toolkit in the shift-Left arsenal