Causal inference for statistical fault localization

@inproceedings{Baah2010CausalIF,
  title={Causal inference for statistical fault localization},
  author={George K. Baah and Andy Podgurski and Mary Jean Harrold},
  booktitle={ISSTA},
  year={2010}
}
This paper investigates the application of causal inference methodology for observational studies to software fault localization based on test outcomes and profiles. This methodology combines statistical techniques for counterfactual inference with causal graphical models to obtain causal-effect estimates that are not subject to severe confounding bias. The methodology applies Pearl's Back-Door Criterion to program dependence graphs to justify a linear model for estimating the causal effect of… CONTINUE READING
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