Predicting Test Automation Failures using Machine Learning for Proactive Quality Engineering
Test automation is vital for software release in modern times, it often results in false positives due to failed tests, which leads to the waste of precious engineer's time and, hence, loss of trust in the system. The proposed research project seeks to design a predictive model that can estimate the possibility of fals...