Computer Science

Computer Science ›› 2018, Vol. 45 ›› Issue (11): 193-198.doi: 10.11896／j.issn.1002-137X.2018.11.030

• Software & Database Technology • Previous Articles     Next Articles

Software Bug Triaging Method Based on Text Classification and Developer Rating

SHI Xiao-wan, MA Yu-tao   

  1. (School of Computer Science,Wuhan University,Wuhan 430072,China)
  • Received:2017-11-30 Published:2019-02-25

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Abstract: Bug management and repair in open-source software (OSS) projects are meaningful ways to ensure the quality of software and the efficiency of software development,and improving the efficiency of bug triaging is an urgent problem to be resolved.A prediction method based on text classification and developer rating was proposed in this paper.The core idea of building the prediction model is to consider both text classification based on machine learning and rating mechanism based on the source of bugs.According to the experiment on hundreds of thousands of bugs in the Eclipse and Mozilla projects,in the ten-fold incremental verification mode,the best average accuracies of the proposed method reach 78.39% and 64.94%,respectively.Moreover,its accuracies are increased by 17.34% and 10.82%,respectively,compared with the highest average accuracies of the baseline method(machine learning classification +tos-sing graphs).Therefore,the results indicate the effectiveness of the proposed method.

Key words: Bug triage, Prediction model, Rating, Support vector machine, Text classification

CLC Number: 

  • TP311.5
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