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A Bayesian Network Based Approach for Change Coupling Prediction
2008
2008 15th Working Conference on Reverse Engineering
Source code coupling and change history are two important data sources for change coupling analysis. The popularity of public open source projects in recent years makes both sources available. Based on our previous research, in this paper, we inspect different dimensions of software changes including change significance or source code dependency levels, extract a set of features from the two sources and propose a bayesian network-based approach for change coupling prediction. By combining the
doi:10.1109/wcre.2008.39
dblp:conf/wcre/ZhouWGGL08
fatcat:c3kgvsbmlrbspll6fmvvsvysia