Automatic Mining of Source Code Repositories to Improve Bug Finding Techniques
IEEE Transactions on Software Engineering
Facilitating software evolution research with kenyon
Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering
DynaMine: finding common error patterns by mining software revision histories
Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering
Proceedings of the 28th international conference on Software engineering
TA-RE: an exchange language for mining software repositories
Proceedings of the 2006 international workshop on Mining software repositories
Program element matching for multi-version program analyses
Proceedings of the 2006 international workshop on Mining software repositories
Mining version archives for co-changed lines
Proceedings of the 2006 international workshop on Mining software repositories
Proceedings of the 14th ACM SIGSOFT international symposium on Foundations of software engineering
Fine-grained processing of CVS archives with APFEL
eclipse '06 Proceedings of the 2006 OOPSLA workshop on eclipse technology eXchange
Predicting Faults from Cached History
ICSE '07 Proceedings of the 29th international conference on Software Engineering
Predicting defects using network analysis on dependency graphs
Proceedings of the 30th international conference on Software engineering
Toward an understanding of bug fix patterns
Empirical Software Engineering
WikiDev 2.0: discovering clusters of related team artifacts
CASCON '09 Proceedings of the 2009 Conference of the Center for Advanced Studies on Collaborative Research
Towards a classification of logical dependencies origins: a case study
Proceedings of the 12th International Workshop on Principles of Software Evolution and the 7th annual ERCIM Workshop on Software Evolution
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As software evolves, maintenance practices require aprocess of accommodating changing requirements whileminimizing the cost of implementing those changes. Overtime, incompatibilities between design assumptions andthe operational environment become more pronounced,requiring some regions of the implementation to requirerepeated modification. These regions are considered tobe "unstable", and may benefit from targetedrestructuring efforts as a means of realigning theseassumptions and the environment.An analysis of these regions that identifies andclassifies these instabilities can be used to prioritize anddirect structural maintenance efforts. To this end, wepresent an identification approach that augments staticdependence graphs with data retrieved fromconfiguration management (CM) systems. This approachavoids the assumption that artifacts changing within thesame CM transaction are related, without requiringsophisticated change management data. We alsodescribe our work-to-date in validating the underlyingassumptions and identifying instabilities.