Information Processing Letters
Critical slicing for software fault localization
ISSTA '96 Proceedings of the 1996 ACM SIGSOFT international symposium on Software testing and analysis
Programmers use slices when debugging
Communications of the ACM
Simplifying and Isolating Failure-Inducing Input
IEEE Transactions on Software Engineering
Visualization of test information to assist fault localization
Proceedings of the 24th International Conference on Software Engineering
BIDE: Efficient Mining of Frequent Closed Sequences
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Locating causes of program failures
Proceedings of the 27th international conference on Software engineering
Scalable statistical bug isolation
Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation
SOBER: statistical model-based bug localization
Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering
Empirical evaluation of the tarantula automatic fault-localization technique
Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering
Pruning dynamic slices with confidence
Proceedings of the 2006 ACM SIGPLAN conference on Programming language design and implementation
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
Scalable graph analyzing approach for software fault-localization
Proceedings of the 6th International Workshop on Automation of Software Test
Inferred dependence coverage to support fault contextualization
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
Isolating failure causes through test case generation
Proceedings of the 2012 International Symposium on Software Testing and Analysis
Spectral debugging: how much better can we do?
ACSC '12 Proceedings of the Thirty-fifth Australasian Computer Science Conference - Volume 122
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Most existing fault-localization techniques focus on identifying and reporting single statements that may contain a fault. Even in cases where a fault involves a single statement, it is generally hard to understand the fault by looking at that statement in isolation. Faults typically manifest themselves in a specific context, and knowing that context is necessary to diagnose and correct the fault. In this paper, we present a novel fault-localization technique that identifies sequences of statements that lead to a failure. The technique works by analyzing partial execution traces corresponding to failing executions and identifying common segments in these traces, incrementally. Our approach provides developers a context that is likely to result in a more directed approach to fault understanding and a lower overall cost for debugging.