Bug Triaging Based on Tossing Sequence Modeling  

作　　者：Sheng-Qu Xi Yuan Yao Xu-Sheng Xiao Feng Xu Jian Lv 

机构地区：[1]State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing 210023,China [2]Department of Electrical Engineering and Computer Science,Case Western Reserve University,Cleveland Ohio 44106-7071,U.S.A.

出　　处：《Journal of Computer Science & Technology》2019年第5期942-956,共15页计算机科学技术学报（英文版）

基　　金：supported by the National Natural Science Foundation of China under Grant Nos.61690204,61672274,and 61702252, and the Collaborative Innovation Center of Novel Software Technology and Industrialization at Nanjing University.

摘　　要：Bug triaging, which routes the bug reports to potential fixers, is an integral step in software development and maintenance. To make bug triaging more efficient, many researchers propose to adopt machine learning and information retrieval techniques to identify some suitable fixers for a given bug report. However, none of the existing proposals simultaneously take into account the following three aspects that matter for the efficiency of bug triaging: 1) the textual content in the bug reports, 2) the metadata in the bug reports, and 3) the tossing sequence of the bug reports. To simultaneously make use of the above three aspects, we propose iTriage which first adopts a sequence-to-sequence model to jointly learn the features of textual content and tossing sequence, and then uses a classification model to integrate the features from textual content, metadata, and tossing sequence. Evaluation results on three different open-source projects show that the proposed approach has significantly improved the accuracy of bug triaging compared with the state-of-the-art approaches.

关 键 词：BUG triaging tossing SEQUENCE SOFTWARE REPOSITORY MINING 

分 类 号：TP[自动化与计算机技术]