Identifying Changed Source Code Lines from Version Repositories Export

@inproceedings{citeulike:2280672, abstract = {Observing the evolution of software systems at different levels of granularity has been a key issue for a number of studies, aiming at predicting defects or at studying certain phenomena, such as the presence of clones or of crosscutting concerns. Versioning systems such as CVS and SVN, however, only provide information about lines added or deleted by a contributor: any change is shown as a sequence of additions and deletions. This provides an erroneous estimate of the amount of code changed. This paper shows how the evolution of changes at source code line level can be inferred from CVS repositories, by combining information retrieval techniques and the Levenshtein edit distance. The application of the proposed approach to the ArgoUML case study indicates a high precision and recall.}, address = {Washington, DC, USA}, author = {Canfora, Gerardo and Cerulo, Luigi and Di Penta, Massimiliano}, booktitle = {MSR '07: Proceedings of the Fourth International Workshop on Mining Software Repositories}, citeulike-article-id = {2280672}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1268983.1269028}, citeulike-linkout-1 = {http://dx.doi.org/10.1109/MSR.2007.14}, doi = {10.1109/MSR.2007.14}, isbn = {0-7695-2950-X}, keywords = {change, cvs, empirical, measure}, pages = {14+}, posted-at = {2008-01-23 13:52:39}, priority = {2}, publisher = {IEEE Computer Society}, title = {Identifying Changed Source Code Lines from Version Repositories}, url = {http://dx.doi.org/10.1109/MSR.2007.14}, year = {2007} }

TY - CONF ID - citeulike:2280672 L3 - citeulike-article-id:2280672 N2 - Observing the evolution of software systems at different levels of granularity has been a key issue for a number of studies, aiming at predicting defects or at studying certain phenomena, such as the presence of clones or of crosscutting concerns. Versioning systems such as CVS and SVN, however, only provide information about lines added or deleted by a contributor: any change is shown as a sequence of additions and deletions. This provides an erroneous estimate of the amount of code changed. This paper shows how the evolution of changes at source code line level can be inferred from CVS repositories, by combining information retrieval techniques and the Levenshtein edit distance. The application of the proposed approach to the ArgoUML case study indicates a high precision and recall. SN - 0-7695-2950-X AD - Washington, DC, USA TI - Identifying Changed Source Code Lines from Version Repositories PB - IEEE Computer Society T2 - MSR '07: Proceedings of the Fourth International Workshop on Mining Software Repositories SP - 14 KW - change KW - cvs KW - empirical KW - measure AU - Canfora, Gerardo AU - Cerulo, Luigi AU - Di Penta, Massimiliano PY - 2007/// UR - http://dx.doi.org/10.1109/MSR.2007.14 ER -