作者: Ben Liblit , Mayur Naik , Alice X. Zheng , Alex Aiken , Michael I. Jordan
关键词: Debugging 、 Scalability 、 Computer science 、 Data mining 、 Software quality 、 Isolation (database systems)
摘要: We present a statistical debugging algorithm that isolates bugs in programs containing multiple undiagnosed bugs. Earlier algorithms focus solely on identifying predictors correlate with program failure perform poorly when there are Our new technique separates the effects of different and identifies associated individual These reveal both circumstances under which occur as well frequencies modes, making it easier to prioritize efforts. is validated using several case studies, including examples identified previously unknown, significant crashing widely used systems.