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Discover how to enhance your software development cycle through effective test scrubbing in this 50-minute conference talk from NDC Conferences. Learn about the challenges faced by a small team of domain experts in handling a high volume of failed test results and the innovative solution they developed. Explore the implementation of a machine learning tool based on test results clustering, which enables more efficient automation in managing test outcomes. Gain insights into how clustering techniques can be applied across various fields and how to quickly transform an idea into a valuable solution using basic machine learning knowledge and Python skills. Follow the journey of speakers Carl-Martin Rosenberg, Thomas Hanssen Nornes, and Marius Liaaen as they share their experience in creating a more streamlined approach to analyzing and addressing failed test runs, ultimately leading to faster feedback and a safer development process.
