An empirical investigation of program spectra
Proceedings of the 1998 ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering
Visualization of test information to assist fault localization
Proceedings of the 24th International Conference on Software Engineering
Automated Debugging: Are We Close
Computer
Scalable statistical bug isolation
Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation
Why Programs Fail: A Guide to Systematic Debugging
Why Programs Fail: A Guide to Systematic Debugging
Lightweight bug localization with AMPLE
Proceedings of the sixth international symposium on Automated analysis-driven debugging
Empirical Software Engineering
Empirical evaluation of the tarantula automatic fault-localization technique
Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering
Effective Fault Localization using Code Coverage
COMPSAC '07 Proceedings of the 31st Annual International Computer Software and Applications Conference - Volume 01
On the Accuracy of Spectrum-based Fault Localization
TAICPART-MUTATION '07 Proceedings of the Testing: Academic and Industrial Conference Practice and Research Techniques - MUTATION
An empirical study of the effects of test-suite reduction on fault localization
Proceedings of the 30th international conference on Software engineering
On similarity-awareness in testing-based fault localization
Automated Software Engineering
Falcon: fault localization in concurrent programs
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1
Directed test generation for effective fault localization
Proceedings of the 19th international symposium on Software testing and analysis
Causal inference for statistical fault localization
Proceedings of the 19th international symposium on Software testing and analysis
The relationship between search based software engineering and predictive modeling
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
A model for spectra-based software diagnosis
ACM Transactions on Software Engineering and Methodology (TOSEM)
A systematic study of automated program repair: fixing 55 out of 105 bugs for $8 each
Proceedings of the 34th International Conference on Software Engineering
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Spectra-Based Fault Localisation (SBFL) aims to assist debugging by applying risk evaluation formulæ (sometimes called suspiciousness metrics) to program spectra and ranking statements according to the predicted risk. Designing a risk evaluation formula is often an intuitive process done by human software engineer. This paper presents a Genetic Programming (GP) approach for evolving risk assessment formulæ. The empirical evaluation using 92 faults from four Unix utilities produces promising results. Equations evolved by Genetic Programming can consistently outperform many of the human-designed formulæ, such as Tarantula, Ochiai, Jaccard, Ample, and Wong1/2, up to 6 times. More importantly, they can perform equally as well as Op2, which was recently proved to be optimal against If-Then-Else-2 (ITE2) structure, or even outperform it against other program structures.