文章基本信息

标题：COMPARATIVE STUDY OF BUG REPORT SUMMARIZATION TECHNIQUES
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作者：Som Gupta ; S.K Gupta
期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2019
卷号：10
期号：6
页码：158-167
DOI：10.21817/indjcse/2019/v10i6/191006041
出版社：Engg Journals Publications
摘要：Bug Reports are one of the very important artifacts during software development processand is one of the very popular artifacts of research among the researchers. Summarization is oneapplication on bug reports which helps solve a lot of interesting issues of bug reports like bug triagingand bug duplicate detection. Many researchers have done research on bug report summarizationusing various techniques like supervised approaches, unsupervised approaches, deep learningapproach, feature-based approach. In this paper, we have systematically evaluated the works andpresented them in the comparative form. For our comparison work, we have selected five researchpapers among all. The papers are chosen with the thing in mind that all the important concepts whichare getting used for bug report summarization gets covered.The paper discusses the approach, concept, strengths, limitations, tools if used, dataset used, theevaluation techniques and the performance results that are used or obtained in the chosen researchworks. Our work will help other researchers have a clear overview of the very popular works in thisfield and thus will help improve and carry out further works in this field of research.
关键词：AUSUM;Feature;Based; Deep Learning; Semantic;Unsupervised