I will talk about some common approaches to design a model that help with the test selection. On a very high level talk about the algorithm that can be used and some of the things that can be done to do an effective design a test recommendation engine.
Takeaways:
Soumya Mukherjee is having a decade and a half of experience doing intelligent automation with various tools and tech stack-developed products, executed large transformation programs, applied machine learning concepts in QA. He also has expertise in reducing cycle time for organizations with effective use of resources. He is passionate about developing solutions to exciting problems in applied reliability engineering. He loves to help others, solve complex problems and is passionate to share experiences, failures & success stories with folks. He has authored books on selenium published by Tata McGraw-Hill’s & Amazon. A father of a lovely daughter.
