Evaluating data-flow coverage in spectrum-based fault localization

@article{Ribeiro2019EvaluatingDC,
  title={Evaluating data-flow coverage in spectrum-based fault localization},
  author={Henrique Lemos Ribeiro and H. A. D. Souza and Roberto P. A. Araujo and Marcos Lordello Chaim and Fabio Kon},
  journal={2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)},
  year={2019},
  pages={1-11}
}
Background: Debugging is a key task during the software development cycle. Spectrum-based Fault Localization (SFL) is a promising technique to improve and automate debugging. SFL techniques use control-flow spectra to pinpoint the most suspicious program elements. However, data-flow spectra provide more detailed information about the program execution, which may be useful for fault localization. Aims: We evaluate the effectiveness and efficiency of ten SFL ranking metrics using data-flow… Expand
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