Dex: A Semantic-Graph Differencing Tool for Studying Changes in Large Code Bases Export

@article{citeulike:259537, abstract = {This paper describes an automated tool called Dex (Difference extractor) for analyzing syntactic and semantic changes in large C-language code bases. It is applied to patches obtained from a source code repository, each of which comprises the code changes made to accomplish a particular task. Dex produces summary statistics characterizing these changes for all of the patches that are analyzed. Dex applies a graph differencing algorithm to abstract semantic graphs (ASGs) representing each version. The differences are then analyzed to identify higher-level program changes. We describe the design of Dex, its potential applications, and the results of applying it to analyze bug fixes from the Apache and GCC projects. The results include detailed information about the nature and frequency of missing condition defects in these projects.}, address = {Los Alamitos, CA, USA}, author = {Raghavan, Shruti and Rohana, Rosanne and Leon, David and Podgurski, Andy and Augustine, Vinay}, citeulike-article-id = {259537}, citeulike-linkout-0 = {http://doi.ieeecomputersociety.org/10.1109/ICSM.2004.1357803}, citeulike-linkout-1 = {http://dx.doi.org/10.1109/ICSM.2004.1357803}, citeulike-linkout-2 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1357803}, doi = {10.1109/ICSM.2004.1357803}, issn = {1063-6773}, journal = {Software Maintenance, IEEE International Conference on}, keywords = {analysis, graph\_theory, source}, pages = {188--197}, posted-at = {2008-01-18 19:41:40}, priority = {0}, publisher = {IEEE Computer Society}, title = {Dex: A Semantic-Graph Differencing Tool for Studying Changes in Large Code Bases}, url = {http://dx.doi.org/10.1109/ICSM.2004.1357803}, volume = {0}, year = {2004} }

TY - JOUR ID - citeulike:259537 L3 - citeulike-article-id:259537 N2 - This paper describes an automated tool called Dex (Difference extractor) for analyzing syntactic and semantic changes in large C-language code bases. It is applied to patches obtained from a source code repository, each of which comprises the code changes made to accomplish a particular task. Dex produces summary statistics characterizing these changes for all of the patches that are analyzed. Dex applies a graph differencing algorithm to abstract semantic graphs (ASGs) representing each version. The differences are then analyzed to identify higher-level program changes. We describe the design of Dex, its potential applications, and the results of applying it to analyze bug fixes from the Apache and GCC projects. The results include detailed information about the nature and frequency of missing condition defects in these projects. JF - Software Maintenance, IEEE International Conference on SN - 1063-6773 AD - Los Alamitos, CA, USA EP - 197 TI - Dex: A Semantic-Graph Differencing Tool for Studying Changes in Large Code Bases PB - IEEE Computer Society VL - 0 SP - 188 KW - analysis KW - graph_theory KW - source AU - Raghavan, Shruti AU - Rohana, Rosanne AU - Leon, David AU - Podgurski, Andy AU - Augustine, Vinay PY - 2004/// UR - http://dx.doi.org/10.1109/ICSM.2004.1357803 ER -