Bayesian Fault Localization for Software Testing

Abstract

Fault localization is a software testing activity that is critical when software failures occur. We propose a novel Bayesian fault localization method, yielding a principled and probabilistic ranking of suspicious input combinations for identifying the root causes of failures. We are currently developing methods to use the calculated probabilities for sequential test case generation.

Advisor(s)

Simon Mak