Develop an Agile & Automation Testing Capability Strategy That Is Consistent

Agile methodologies are becoming increasingly prevalent in software development around the world. They need a new approach to software testing that is well-matched with Agile’s fast-paced philosophy. Although test automation was not built with Agile teams in mind, it does make Agile testing a crucial component of the Agile idea.

Any agile development methodology involves automated testing as a core component. Test automation becomes even more crucial as we go toward continuous deployment because of the instant insight it delivers to the development team on the application’s health.

Automated testing must be conducted consistently and rapidly, and the test results must be consistent and predictable to acquire this immediate feedback. The majority of verifications should be undertaken as part of creating new features to accomplish these criteria.

It’s better to think of development and testing as one continuous process, with quality being built in by ensuring that what’s being developed works and doesn’t interfere with any existing features.

This demands “transposing the test automation hierarchy,” which entails pushing GUI tests that take a long time to conduct to lower levels, such as the API layer, which may run straight after the unit tests and needs to be added as a part of the build to provide the initial group of confidence.

Transposing the Test Automation Hierarchy

As part of our test automation strategy, we need to reduce the number of automated tests conducted at the GUI layer. In simulating a user’s interaction with the app, running automated tests through the GUI works well, but there are a few downsides.

Slow page load time – since tests are executed through the GUI, page load times can add a considerable amount of time to the whole testing duration, and as a result, feedback to developers is slow.

Because they rely on HTML locators to detect which online things to interact with, brittle tests fail as soon as the ID changes, resulting in hefty maintainability expenses.

Limited testing – the tester’s ability to validate a feature thoroughly may be limited because the GUI may not present all of the details from the web response to allow verification.

Because of the drawbacks mentioned earlier, GUI automated tests yield the lowest returns on investment (ROI).

By integrating standard user flows with end-to-end scenarios in which the complete system is tested, the automated browser tests should be kept to a bare minimum.

Agile testing with automation frequently doesn’t function well since agile development is a continuous delivery process with fewer repetitions during development and deployment. As a result, QA teams undertake short and quick regression testing, making it more difficult for testers to find, correct, and test the product.

The solution to this problem is to allow enough time for all types of testing, including automation testing. By running many parallel tests to save time, your testers can debug and do more exploratory testing while also improving team morale and productivity.

Automation of Agile Testing in the Real World

Consider automation as a critical part of agile development and apply an agile test automation strategy to make the testing process better

The two primary pitfalls that you should avoid in agile automation testing, according to most testers:

For the process to be practical, every supplied feature or test must be automated if there is room for automation.

Automation should be used while deploying a new feature or performing regression testing where rapid and repeated testing is necessary.

One hundred percent code coverage is a misconception; no amount of automated or human testing can ensure that software code is covered. The quality or relevancy of the test is not ensured by testing the entire code base.

One-to-one translation of tests can be used to improve quality and performance in automation testing. Even yet, because the entire process cannot be automated, one-to-one translation will fall short of providing you with comprehensive coverage of your application.

Compact test cases result in more effective automation testing in agile development since they are easy to execute and allow for rapid alterations in response to regression requirements.

 

Conclusion

Due to causes such as frequently changing requirements, a lack of knowledge, technical skills, or improper quality assessment, digital firms’ quality assurance, and testing teams often struggle to achieve the right balance between application stability and time-to-market. A high-quality product is vital for boosting the customer experience and ensuring long-term business growth.

 



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