Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Information Retrieval Models for Recovering Traceability Links between Code and Documentation
ICSM '00 Proceedings of the International Conference on Software Maintenance (ICSM'00)
Impact Analysis by Mining Software and Change Request Repositories
METRICS '05 Proceedings of the 11th IEEE International Software Metrics Symposium
Jimpa: An Eclipse Plug-in for Impact Analysis
CSMR '06 Proceedings of the Conference on Software Maintenance and Reengineering
Correlating Social Interactions to Release History during Software Evolution
MSR '07 Proceedings of the Fourth International Workshop on Mining Software Repositories
Benchmarking Lightweight Techniques to Link E-Mails and Source Code
WCRE '09 Proceedings of the 2009 16th Working Conference on Reverse Engineering
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Fixing bugs and implementing enhancements are very relevant activities in a typical software life cycle. They require, as a pre-requisite, the location of a portion of impacted code within a possibly large codebase. This operation can be extremely difficult and time-consuming particularly for developers not much familiar with the software. With that perspective we focus on a simple research question: is it possible to support impact analysis using the information available in software repositories, in particular code comments and version control log? We devised a simple and novel approach, based on Natural Language Processing techniques, that provides support in impact analysis. On the average the proposed approach is very selective with a 99% specificity and achieves a recall of 96% and a precision of 13.6% with respect to a manually built gold standard.