The Story

As a software development engineer in test (SDET) I recently implemented an API-first approach for our test automation framework. This approach involved prioritizing API testing before any other type of testing. While the implementation process was challenging, the benefits of using an API-first approach have been well worth the effort.

The Challenges and Solutions

One of the biggest challenges I faced was identifying the right APIs to test. I had to sift through a large number of APIs to determine which ones were critical for our system. I also had to set up a framework and ceding best practices for automating API testing, which required selecting the right libraries and implementing them to work with our APIs.

To overcome these challenges, I relied heavily on API documentation and open-source tools like Postman and Python request library. I also used virtualization to simulate different API environments, which helped me identify compatibility issues earlier in the development cycle.

One of the key outcomes of implementing an API-first approach was that I noticed significant improvements across several areas of our testing framework. I created an infographic to highlight these improvements, which you can see below:

The Result

As you can see, after implementing an API-first approach, I was able to reduce our test failure rates, identify more bugs in our system, reduce the amount of time spent on framework maintenance, and increase the amount of new automation added to our testing framework. These improvements have had a significant impact on our software quality and have allowed us to develop and deploy new features faster than ever before.

Key Takeaway

If you're considering implementing an API-first approach for your test automation framework, my key takeaway would be to prioritize API testing from the outset. Invest in the right tools and resources, and don't be afraid to experiment with different testing strategies to find what works best for your system. The benefits of an API-first approach are clear: improved software quality, reduced time and resources spent on testing, and increased automation coverage.