Journal of Software Maintenance and Evolution: Research and Practice - Special Issue on the 12th Conference on Software Maintenance and Reengineering (CSMR 2008)
Empirical Evaluation of Strategies to Detect Logical Change Dependencies
SOFSEM '10 Proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science
Defect cost flow model: a Bayesian network for predicting defect correction effort
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
A taxonomy for software change impact analysis
Proceedings of the 12th International Workshop on Principles of Software Evolution and the 7th annual ERCIM Workshop on Software Evolution
Connectivity of co-changed method groups: a case study on open source systems
CASCON '12 Proceedings of the 2012 Conference of the Center for Advanced Studies on Collaborative Research
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Source code coupling and change history are two important datasources for change coupling analysis. The popularity of public opensource projects in recent years makes both sources available. Basedon our previous research, in this paper, we inspect differentdimensions of software changes including change significance or source codedependency levels, extract a set of features from the twosources and propose a bayesian network-based approach forchange coupling prediction. By combining the features from the co-changed entitiesand their dependency relation, the approach can model the underlyinguncertainty. The empirical case study on two medium-sizedopen source projects demonstrates the feasibility and effectivenessof our approach compared to previous work.