"Researchers Design a Tool to Identify the Source of Errors Caused by Software Updates"
Software updates intend to make applications run faster or more smoothly, however, sometimes software updates can have bugs known as performance regressions, which can make the software run slower or less smoothly. Usually, it takes a lot of time to fix these bugs, because locating the software errors usually takes a lot of human intervention. Researchers at Texas A&M University, with collaboration with computer scientists at Intel Labs, have developed a new completely automated way of identifying the source of errors caused by software updates. The algorithm they use is called deep learning, which is a form of machine learning. The use of the deep learning algorithm allows one to find performance bugs in a few hours instead of a few days.