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Threats to the validity and value of empirical assessments of the accuracy of coverage-based fault locators

Published:15 July 2013Publication History

ABSTRACT

Resuming past work on coverage-based fault localization, we find that empirical assessments of its accuracy are subject to so many imponderables that they are of limited value. To improve on this situation, we have compiled a comprehensive list of threats to be considered when attempting such assessments in the future. In addition, we propose the establishment of theoretical lower and upper bounds of fault localization accuracy that depend on properties of the subject programs (including their test suites) only. We make a suggestion for a lower bound and show that well-known fault locators do not uniformly perform better.

References

  1. R Abreu, P Zoeteweij, AJC van Gemund “An evaluation of similarity coefficients for software fault localization” in: Proc. of PRDC (2006) 39–46. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. R Abreu, P Zoeteweij, R Golsteijn, AJC van Gemund “A practical evaluation of spectrum-based fault localization” Journal of Systems and Software 82:11 (2009) 1780–1792. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. R Abreu, P Zoeteweij, AJC van Gemund “Spectrum-based multiple fault localization” in: Proc. of ASE (2009) 88–99. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. S Ali, JH Andrews, T Dhandapani, W Wang “Evaluating the accuracy of fault localization techniques” in: Proc. of ASE (2009) 76–87. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. JH Andrews, LC Briand, Y Labiche “Is mutation an appropriate tool for testing experiments?” in: Proc. of ICSE (2005) 402–411. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. GK Baah, A Podgurski, MJ Harrold “Mitigating the confounding effects of program dependences for effective fault localization” in: Proc. of SIGSOFT FSE (2011) 146–156. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. J Bentley More Programming Pearls: Confessions of a Coder (Addison Wesley 1988). Google ScholarGoogle Scholar
  8. MY Chen, E Kiciman, E Fratkin, A Fox, A., EA Brewer “Pinpoint: Problem determination in large, dynamic internet services” in: Proc. of DSN (2002) 595–604. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. H Cleve, A Zeller “Locating causes of program failures” in: Proc. of ICSE (2005) 342–351. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. V Dallmeier, C Lindig, A Zeller “Lightweight defect localization for Java” in: Proc. of ECOOP (2005) 528–550. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. N DiGiuseppe, JA Jones “On the influence of multiple faults on coverage-based fault localization” in: Proc. of ISSTA (2011) 210–220. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. G Fraser, A Arcuri “Sound empirical evidence in software testing” in: Proc. of ICSE (2012) 178–188. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. A Gonzalez-Sanchez, R Abreu, HG Gross, AJC von Gemund “Prioritizing tests for fault localization through ambiguity group reduction” in: Proc. of ASE (2011) 83-92. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. R Gore, PF Reynolds Jr. “Reducing confounding bias in predicate-level statistical debugging metrics” in: Proc. of ICSE (2012) 463–473. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. JA Jones, MJ Harrold, JT Stasko “Visualization of test information to assist fault localization” in: Proc. of ICSE (2002) 467–477. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. JA Jones, MJ Harrold “Empirical evaluation of the tarantula automatic fault-localization technique” in: Proc. of ASE (2005) 273–282. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. JA Jones, MJ Harrold, JF Bowring “Debugging in parallel” in: Proc. of ISSTA (2007) 16–26. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. JA Jones Semi-Automatic Fault Localization PhD Thesis (Georgia Institute of Technology, 2008). Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. L Naish, H Jie L, K Ramamohanarao “A model for spectrabased software diagnosis” ACM Trans. Softw. Eng. Methodol. 20(3):11 (2011). Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. AS Namin, S Kakarla “The use of mutation in testing experiments and its sensitivity to external threats” in: Proc. of ISSTA (2011) 342–352. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. C Parnin, A Orso “Are automated debugging techniques actually helping programmers?” in: Proc of ISSTA (2011) 199– 209. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. M Renieris, SP Reiss “Fault localization with nearest neighbor queries” in: Proc. of ASE (2003) 30–39.Google ScholarGoogle Scholar
  23. D Saff “Theory-infected: or how I learned to stop worrying and love universal quantification” in: OOPSLA Companion (2007) 846–847. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. RA Santelices, JA Jones, Y Yu, MJ Harrold “Lightweight fault-localization using multiple coverage types” in: Proc. of ICSE (2009) 56–66. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. F Steimann, T Eichstädt-Engelen, M Schaaf “Towards raising the failure of unit tests to the level of compiler-reported errors” in: Proc. of TOOLS Europe (2008) 60–79.Google ScholarGoogle Scholar
  26. F Steimann, M Bertschler “A simple coverage-based locator for mul-tiple faults” in: Proc of ICST (2009) 366–375. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. F Steimann, M Frenkel “Improving coverage-based localization of multiple faults using algorithms from Integer Linear Programming” in: Proc. of ISSRE (2012).Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. X Wang, SC Cheung, WK Chan, Z Zhang “Taming coincidental correctness: Coverage refinement with context patterns to improve fault localization” in: Proc. of ICSE (2009) 45–55. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. X Xie, T Chen, FC Kuo, B Xu “A theoretical analysis of the risk evaluation formulas for spectrum-based fault Localization” ACM TOSEM (in print).Google ScholarGoogle Scholar
  30. X Xu, V Debroy, WE Wong, D Guo “Ties within fault localization rankings: Exposing and addressing the problem” International Journal of Software Engineering and Knowledge Engineering 21:6 (2011) 803–827.Google ScholarGoogle ScholarCross RefCross Ref
  31. S Yoo, M Harman, D Clark “Fault localization prioritization: Comparing information theoretic and coverage based approaches” ACM TOSEM (in press).Google ScholarGoogle Scholar
  32. Z Zhang, WK Chan, TH Tse, YT Yu, P Hu “Non-parametric statistical fault localization” Journal of Systems and Software 84:6 (2011) 885–905. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Threats to the validity and value of empirical assessments of the accuracy of coverage-based fault locators

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    • Published in

      cover image ACM Conferences
      ISSTA 2013: Proceedings of the 2013 International Symposium on Software Testing and Analysis
      July 2013
      381 pages
      ISBN:9781450321594
      DOI:10.1145/2483760

      Copyright © 2013 ACM

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      Publication History

      • Published: 15 July 2013

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