Using information retrieval based coupling measures for impact analysis
Empirical Software Engineering
Towards automatic program partitioning
Proceedings of the 6th ACM conference on Computing frontiers
Combining textual and structural analysis of software artifacts for traceability link recovery
TEFSE '09 Proceedings of the 2009 ICSE Workshop on Traceability in Emerging Forms of Software Engineering
Proceedings of the 2010 ACM Symposium on Applied Computing
Recommending source code examples via API call usages and documentation
Proceedings of the 2nd International Workshop on Recommendation Systems for Software Engineering
Investigating how to effectively combine static concern location techniques
Proceedings of the 3rd International Workshop on Search-Driven Development: Users, Infrastructure, Tools, and Evaluation
Towards a benchmark for traceability
Proceedings of the 12th International Workshop on Principles of Software Evolution and the 7th annual ERCIM Workshop on Software Evolution
Using structural and textual information to capture feature coupling in object-oriented software
Empirical Software Engineering
A fast algorithm to locate concepts in execution traces
SSBSE'11 Proceedings of the Third international conference on Search based software engineering
Remodularizing Java programs for improved locality of feature implementations in source code
Science of Computer Programming
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
Locating features in dynamically configured avionics software
Proceedings of the 34th International Conference on Software Engineering
Combining lexical and structural information for static bug localisation
International Journal of Computer Applications in Technology
Code patterns for automatically validating requirements-to-code traces
Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering
Concept location using formal concept analysis and information retrieval
ACM Transactions on Software Engineering and Methodology (TOSEM)
Empirical Software Engineering
Concept location using program dependencies and information retrieval (DepIR)
Information and Software Technology
A systematic review on mining techniques for crosscutting concerns
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Improving trace accuracy through data-driven configuration and composition of tracing features
Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
Combining concern input with program analysis for bloat detection
Proceedings of the 2013 ACM SIGPLAN international conference on Object oriented programming systems languages & applications
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The concern location problem is to identify the source code within a program related to the features, requirements, or other concerns of the program. This problem is central to program development and maintenance. We present a new technique called prune dependency analysis that can be combined with existing techniques to dramatically improve the accuracy of concern location. We developed CERBERUS, a potent hybrid technique for concern location that combines information retrieval, execution tracing, and prune dependency analysis. We used CERBERUS to trace the 360 requirements of RHINO, a 32,134 line Java program that implements the ECMAScript international standard. In our experiment, prune dependency analysis boosted the recall of information retrieval by 155% and execution tracing by 104%. Moreover, we show that our combined technique outperformed the other techniques when run individually or in pairs.