Learn More
Statistical debugging uses machine learning to model program failures and help identify root causes of bugs. We approach this task using a novel Delta-Latent-Dirichlet-Allocation model. We model execution traces attributed to failed runs of a program as being generated by two types of latent topics: normal usage topics and bug topics. Execution traces(More)
Modern integrated development environments (IDEs) provide programmers with a variety of sophisticated tools for program visualization and manipulation. These tools assist the programmer in understanding legacy code and making coordinated changes across large parts of a program. Similar tools incorporated into an integrated proof environment (IPE) would(More)
  • 1