Software development is a hyper-competitive industry. The only way to maintain an edge over the others is by sticking to an accelerated development timeline without losing out on the quality of the software.
Unfortunately, manual testing strikes out on both of those points. It’s tedious, time-consuming, and fraught with errors. Unsurprisingly, over 90% of all software firms have adopted test automation to some degree. Not only does automated testing reduce input costs and save time, but it also offers better coverage and increased testing efficiency. All these benefits collectively enable firms to roll out their products faster and with fewer bugs.
But many teams find it hard to implement an effective test automation system. They either abort their efforts midway and revert to manual testing or use the wrong tools and frameworks and are back to square one in no time.
While test automation is the best available option, your projects can go haywire without a proper strategy in place.
There are two significant points to keep in mind while designing your strategy.
How to choose suitable test cases for automation?
The tests that can be automated are usually grouped under two categories – functional and non-functional. Functional tests are designed to check whether the finished software meets the business requirements. Non-functional tests are designed to check the response time, loading time, and speed of the software. Then, based on accepted quality metrics, parameters are set for the software to be tested.
There is a multitude of tests that can be automated. But choosing the right ones for your specific software is critical. The tests you choose should give quick ROI, be easy to automate, and be compatible with your required parameters. Most experts agree that the ideal tests to be first considered for automation are regression tests, performance tests, data-driven tests, API tests, and unit tests. On the other hand, ad hoc tests, UI tests, and low-risk tests should not. Eventually, it all boils down to the testing requirements of the software, the resources available, and the capabilities of the personnel.
To make this job easier, there are four points you should keep in mind.
Mike Cohn, the author of the book ‘Succeeding With Agile,’ presented a test automation pyramid theory to help testers decide which tests to automate first.
Mike Cohn discusses the costs to maintain and execute the tests as you move upwards in the pyramid. It’s often advised that the strategy should be focused on automating API and unit tests instead of UI tests. This technique offers more breadth of coverage with less overhead.
What capabilities should your test automation solution have?
Once you’ve finalized the tests you want to automate, it’s time to take a good, critical look at your test automation solution. With the wrong solution in hand, your entire strategy could falter. So, before you pick your choice, make a note of all these necessary capabilities that a good test automation solution should have.
The Bottom line
Avo Automation’s Avo Assure is a simple, intelligent, and resilient test automation platform that offers all the above capabilities and more. With Avo Assure, you can expand your test coverage and reduce maintenance overheads. In fact, with our product, a large Fortune 500 Bank managed to cut down on its testing costs by over 63%. To learn more about how Avo Automation can help you, book a demo today!