Tool Finds Software Update Update Bugs In Hours, Not Days - aster.cloud

It's a common frustration--software updates intended to make our applications run faster inadvertently end up doing just the opposite. These bugs, called performance regressions in the field of computer science, are time-consuming to fix because locating software errors normally requires substantial human intervention. To overcome this obstacle, researchers at Texas A&M University, in collaboration with computer scientists at Intel Labs, developed a completely automated way of identifying the source of the errors. Their algorithm, based on a specialized form of machine learning called deep learning, is not only turnkey, but also quick. It finds performance bugs in a matter of a few hours instead of days.