Program understanding behavior during debugging of large scale software
ESP '97 Papers presented at the seventh workshop on Empirical studies of programmers
Supporting program comprehension using semantic and structural information
ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
Semantic clustering: Identifying topics in source code
Information and Software Technology
Context-aware statistical debugging: from bug predictors to faulty control flow paths
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
Statistical Debugging Using Latent Topic Models
ECML '07 Proceedings of the 18th European conference on Machine Learning
Automated Concept Location Using Independent Component Analysis
WCRE '08 Proceedings of the 2008 15th Working Conference on Reverse Engineering
Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of software engineering
AVA: automated interpretation of dynamically detected anomalies
Proceedings of the eighteenth international symposium on Software testing and analysis
Fault localization based on information flow coverage
Software Testing, Verification & Reliability
Bug localization using latent Dirichlet allocation
Information and Software Technology
On the influence of multiple faults on coverage-based fault localization
Proceedings of the 2011 International Symposium on Software Testing and Analysis
Fault interaction and its repercussions
ICSM '11 Proceedings of the 2011 27th IEEE International Conference on Software Maintenance
Inferred dependence coverage to support fault contextualization
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
Software Behavior and Failure Clustering: An Empirical Study of Fault Causality
ICST '12 Proceedings of the 2012 IEEE Fifth International Conference on Software Testing, Verification and Validation
Semantic fault diagnosis: automatic natural-language fault descriptions
Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering
Concept-based failure clustering
Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering
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A developers ability to successfully debug a fault is directly related to their ability to comprehend the fault. Notwithstanding improvements in software-maintenance automation, this fault comprehension task remains largely manual and time consuming. I propose an automated approach to describe software faults, thus ameliorating comprehension and reducing manual effort. My approach leverages dynamic analysis, fault localization, and source-code mining to produce a succinct, natural-language fault summary.