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A Bayesian Network Based Approach for Change Coupling Prediction


Zhou, Yu; Würsch, Michael; Giger, Emanuel; Gall, Harald; Lü, Jian (2008). A Bayesian Network Based Approach for Change Coupling Prediction. In: Working Conference on Reverse Engineering, Antwerp, Belgium, 15 October 2008 - 18 October 2008, 27-36.

Abstract

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 features from the co-changed entities and their dependency relation, the approach can model the underlying uncertainty. The empirical case study on two medium-sized open source projects demonstrates the feasibility and effectiveness of our approach compared to previous work.

Abstract

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 features from the co-changed entities and their dependency relation, the approach can model the underlying uncertainty. The empirical case study on two medium-sized open source projects demonstrates the feasibility and effectiveness of our approach compared to previous work.

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22 citations in Web of Science®
38 citations in Scopus®
58 citations in Microsoft Academic
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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Software
Language:English
Event End Date:18 October 2008
Deposited On:29 Jan 2009 12:00
Last Modified:03 Apr 2020 13:53
OA Status:Green
Publisher DOI:https://doi.org/10.1109/WCRE.2008.39

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