DevTest Time Machine: Predictive Analytics for the SDLC

Time is the most valuable asset in lean, highly iterative development approaches. If you had insight into how code changes truly impact the overall quality of your application, you could take actions to protect your most precious resource without compromising application quality. Predictive analytics is like a time machine for your dev/test activities. This is because predictive analytics can provide insights into what code should be retested, as well as what tests need to be refactored, as a result of change. This saves time that would otherwise be spent testing unaffected parts of the application, as well as time that may be spent debugging post-release.

In this session, we’ll:

• Define predictive analytics for the SDLC
• Provide examples of how predictive analytics can be used to save time without compromising quality
• Discuss the practices and technologies that enable predictive analytics