Exploiting hardware performance counters with flow and context sensitive profiling
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Dynamically Discovering Likely Program Invariants to Support Program Evolution
IEEE Transactions on Software Engineering - Special issue on 1999 international conference on software engineering
POPL '02 Proceedings of the 29th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Tracking down software bugs using automatic anomaly detection
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Semantic anomaly detection in online data sources
Proceedings of the 24th International Conference on Software Engineering
Visualization of test information to assist fault localization
Proceedings of the 24th International Conference on Software Engineering
Why Programs Fail: A Guide to Systematic Debugging
Why Programs Fail: A Guide to Systematic Debugging
An Empirical Study of Test Case Filtering Techniques Based on Exercising Information Flows
IEEE Transactions on Software Engineering
Dynamic Detection of COTS Component Incompatibility
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Lightweight defect localization for java
ECOOP'05 Proceedings of the 19th European conference on Object-Oriented Programming
An empirical study on evolution of API documentation
FASE'11/ETAPS'11 Proceedings of the 14th international conference on Fundamental approaches to software engineering: part of the joint European conferences on theory and practice of software
Characterizing logging practices in open-source software
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Classic fault localization techniques can automatically provide information about the suspicious code blocks that are likely responsible for observed failures. This information is useful, but not sufficient to completely understand the causes of failing executions, which still require further (time-consuming) investigations to be exactly identified.