Statistical Debugging Using Latent Topic Models
Published in Lecture notes in computer science • Sep 7, 2007
Authors:,,
David Andrzejewski
Anne Mulhern
Ben Liblit
Abstract
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:...
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