Automatic bug assignments without texts: a study  

作　　者：Zexuan LI Kaixin HUANG 

机构地区：[1]Department of Computer Science and Engineering,Shanghai Jiao Tong University,Shanghai 200240,China

出　　处：《Frontiers of Computer Science》2024年第4期211-213,共3页中国计算机科学前沿（英文版）

摘　　要：1 Introduction Automatic bug assignment has been well-studied in the past decade.As textual bug reports usually describe the buggy phenomena and potential causes,engineers highly depend on these reports to fix bugs.Therefore,researchers spend much effort on processing bug reports,aiming for obtaining key information and/or clues for reproducing bugs,analyzing their root causes,assigning them to developers/maintainers,and fixing these bugs.However,our previous research[1]reveals that noises in texts bring adverse impacts to automatic bug assignments unexpectedly,mainly due to insufficiency of classical Natural Language Processing(NLP)techniques.

关 键 词：BUG ASSIGNMENT MAINTAIN 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术] TP309[自动化与计算机技术—计算机科学与技术]