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Localizing Bugs in Program Executions with Graphical Models
Laura Dietz · Valentin Dallmeier · Andreas Zeller · Tobias Scheffer

Wed Dec 09 07:00 PM -- 11:59 PM (PST) @ None #None

We devise a graphical model that supports the process of debugging software by guiding developers to code that is likely to contain defects. The model is trained using execution traces of passing test runs; it reflects the distribution over transitional patterns of code positions. Given a failing test case, the model determines the least likely transitional pattern in the execution trace. The model is designed such that Bayesian inference has a closed-form solution. We evaluate the Bernoulli graph model on data of the software projects AspectJ and Rhino.

Author Information

Laura Dietz (University of Massachusetts, Amherst)
Valentin Dallmeier
Andreas Zeller (Saarland University)
Tobias Scheffer (Universität Potsdam)

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