Engineering Intelligence helps Engineering Leaders get more coding through the DevOps Pipeline in a much shorter timeframe. This is measured in Cycle Time. A key component of Cycle Time is the time it takes to merge code into the main code base. Automated Testing, especially at the unit, integration, and system testing levels plays a key role in the time it takes to merge code. A short merge time can imply not enough testing, while long merge times can signal inefficient manual and automated testing. QA Leaders must leverage true Automation Engineering to get the right balance of testing and speed.
Takeaways from the topic:
- Understand what Engineering Intelligence is and why it matters to QA Leaders
- How the types and quality of automated testing during the coding phase can positively or negatively affect the SDLC
- How to optimize your automated testing to minimize execution time and maximize the usefulness