ZHANG Wen, WANG Song, WANG Qing. BAHA: A Novel Approach to Automatic Bug Report Assignment with Topic Modeling and Heterogeneous Network Analysis[J]. Chinese Journal of Electronics, 2016, 25(6): 1011-1018. doi: 10.1049/cje.2016.08.012
Citation: ZHANG Wen, WANG Song, WANG Qing. BAHA: A Novel Approach to Automatic Bug Report Assignment with Topic Modeling and Heterogeneous Network Analysis[J]. Chinese Journal of Electronics, 2016, 25(6): 1011-1018. doi: 10.1049/cje.2016.08.012

BAHA: A Novel Approach to Automatic Bug Report Assignment with Topic Modeling and Heterogeneous Network Analysis

doi: 10.1049/cje.2016.08.012
Funds:  This work is supported by the National Natural Science Foundation of China (No.71101138, No.61379046, No.61432001), the Beijing Natural Science Fund (No.4122087), the Fundamental Research Fund for the Central Universities in BUCT.
  • Received Date: 2014-11-20
  • Rev Recd Date: 2015-11-19
  • Publish Date: 2016-11-10
  • We propose an approach called Bug report assignment with topic modeling and heterogeneous network analysis (BAHA) to automatically assign bug reports to developers. Existing studies adopt social network analysis to characterize the collaboration of developers. The networks used in these studies are all homogenous. In real practice of bug resolution, different developers collaborate on different bug reports that makes the homogenous network unable to capture this information. We use heterogeneous network to describe the relations between reporters, bug reports and developers to characterize developers' collaboration. Experiments on Eclipse JDT project show that BAHA outperforms the state of art methods on automatic bug report assignment.
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