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Software Technology Research
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3736-3742

Duplicate bug report detection combining D_BBAS method

Zeng Fang
Xie Qi
Cui Mengtian
Southwest Minzu University, Chengdu 610041, China

Abstract

In order to obtain the features of unstructured information of bug reports more effectively, this paper proposed a D_BBAS(Doc2vec and BERT BiLSTM-attention similarity) method, which trained a feature extraction model based on a large-scale bug report library to generate a bug summary text representation set and a bug description text representation set that could reflect deep semantic information. Then, it used these two distributed representation sets to compute the similarity of bug report pairs, thus obtaining the two new similarity features. It combined two new features with the traditional features generated by structured information to participate in the detection of duplicate bug reports. This paper verified the effectiveness of the D_BBAS method on the bug report repositories of well-known open-source projects Eclipse, NetBeans and Open Office, which contained more than 500 000 bug reports. The experimental results show that compared with the representative methods, the D_BBAS method improves the F1 value by 1.7% on average, which proves the effectiveness of the method.

Foundation Support

科技部高端外国专家引进计划资助项目(G2021186002L)
四川省科技计划资助项目(2022JDGD0011)
西南民族大学中央高校基本科研业务费专项资金资助项目(2021NYYXS44)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.05.0241
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 12
Section: Software Technology Research
Pages: 3736-3742
Serial Number: 1001-3695(2022)12-033-3736-07

Publish History

[2022-07-25] Accepted Paper
[2022-12-05] Printed Article

Cite This Article

曾方, 谢琪, 崔梦天. 一种融合D_BBAS方法的重复缺陷报告检测 [J]. 计算机应用研究, 2022, 39 (12): 3736-3742. (Zeng Fang, Xie Qi, Cui Mengtian. Duplicate bug report detection combining D_BBAS method [J]. Application Research of Computers, 2022, 39 (12): 3736-3742. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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