poster

DWEN: deep word embedding network for duplicate bug report detection in software repositories

Authors:

Amar Budhiraja,

Kartik Dutta,

Raghu Reddy,

Manish ShrivastavaAuthors Info & Claims

ICSE '18: Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings

Pages 193 - 194

https://doi.org/10.1145/3183440.3195092

Published: 27 May 2018 Publication History

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Abstract

Bug report filing is a major part of software maintenance. Due to extensive number of bugs filed everyday in large software projects and the asynchronous nature of bug report filing ecosystem, duplicate bug reports are filed. Capturing and tagging duplicate bug reports is crucial in order to avoid assignment of the same bug to different developers. Efforts have been made in the past to detect duplicate bug reports by using topic modelling [2], discriminative methods [5], meta-attributes [6], etc. Recently, Yang et al. [8] proposed an approach to combine word embeddings, TF-IDF and meta-attributes to compute bug similarity between two bug reports.

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Nathan Klein et al. 2014. New features for duplicate bug detection. In Mining Software Repositories. ACM.

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Alina Lazar et al. 2014. Generating duplicate bug datasets. In Mining Software Repositories. ACM.

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Tomas Mikolov et al. 2013. Efficient estimation of word representations in vector space. arXiv preprint arXiv.1301.3781.

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Chengnian Sun et al. 2010. A discriminative model approach for accurate duplicate bug report retrieval. In International Conference on Software Engineering. ACM.

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Chengnian Sun et al. 2011. Towards more accurate retrieval of duplicate bug reports. In Automated Software Engineering. IEEE Press.

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Xinli Yang et al. 2016. Combining word embedding with information retrieval to recommend similar bug reports. In International Symposium on Software Reliability Engineering. IEEE.

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Cited By

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Zheng WLi YWu XCheng J(2024)Duplicate Bug Report detection using Named Entity RecognitionKnowledge-Based Systems10.1016/j.knosys.2023.111258284:COnline publication date: 17-Apr-2024
https://dl.acm.org/doi/10.1016/j.knosys.2023.111258
Chen BZou WCai BMeng QLiu WLi PChen L(2024)An empirical study on the potential of word embedding techniques in bug report management tasksEmpirical Software Engineering10.1007/s10664-024-10510-329:5Online publication date: 25-Jul-2024
https://doi.org/10.1007/s10664-024-10510-3
Zuo FRhee J(2024)Vulnerability discovery based on source code patch commit mining: a systematic literature reviewInternational Journal of Information Security10.1007/s10207-023-00795-823:2(1513-1526)Online publication date: 6-Jan-2024
https://dl.acm.org/doi/10.1007/s10207-023-00795-8
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Abstract
Bug handling is an essential part of the software development process. Ideally, in a bug‐tracking system, bugs are reported, fixed, verified, and closed. In some cases, bugs have to be reopened mostly due to an incorrect fix. However, instead of ...

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Bug fixing is an essential activity in the software maintenance, because most of the software systems have unavoidable defects. When new bugs are submitted, triagers have to find and assign appropriate developers to fix the bugs. However, if the bugs are ...

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Information

Published In

ICSE '18: Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings

May 2018

231 pages

ISBN:9781450356633

DOI:10.1145/3183440

Conference Chair:
Michel Chaudron
Chalmers University of Technology, University of Gothenburg, Sweden
,
General Chair:
Ivica Crnkovic
Chalmers University of Technology, University of Gothenburg, Sweden
,
Program Chairs:
Marsha Chechik
University of Toronto, Canada
,
Mark Harman
Facebook and University College London, United Kingdom

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 May 2018

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ICSE '18

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SIGSOFT
IEEE-CS

ICSE '18: 40th International Conference on Software Engineering

May 27 - June 3, 2018

Gothenburg, Sweden

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Overall Acceptance Rate 276 of 1,856 submissions, 15%

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Cited By

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Zheng WLi YWu XCheng J(2024)Duplicate Bug Report detection using Named Entity RecognitionKnowledge-Based Systems10.1016/j.knosys.2023.111258284:COnline publication date: 17-Apr-2024
https://dl.acm.org/doi/10.1016/j.knosys.2023.111258
Chen BZou WCai BMeng QLiu WLi PChen L(2024)An empirical study on the potential of word embedding techniques in bug report management tasksEmpirical Software Engineering10.1007/s10664-024-10510-329:5Online publication date: 25-Jul-2024
https://doi.org/10.1007/s10664-024-10510-3
Zuo FRhee J(2024)Vulnerability discovery based on source code patch commit mining: a systematic literature reviewInternational Journal of Information Security10.1007/s10207-023-00795-823:2(1513-1526)Online publication date: 6-Jan-2024
https://dl.acm.org/doi/10.1007/s10207-023-00795-8
Hu MLin ZMarshall A(2024)Issue Links Retrieval for New Issues in Issue Tracking SystemsNatural Language Processing and Information Systems10.1007/978-3-031-70242-6_13(126-138)Online publication date: 20-Sep-2024
https://doi.org/10.1007/978-3-031-70242-6_13
Messaoud MMiladi AJenhani IMkaouer MGhadhab L(2023)Duplicate Bug Report Detection Using an Attention-Based Neural Language ModelIEEE Transactions on Reliability10.1109/TR.2022.319364572:2(846-858)Online publication date: Jun-2023
https://doi.org/10.1109/TR.2022.3193645
Jahan SRahman M(2023)Towards Understanding the Impacts of Textual Dissimilarity on Duplicate Bug Report Detection2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)10.1109/SANER56733.2023.00013(25-36)Online publication date: Mar-2023
https://doi.org/10.1109/SANER56733.2023.00013
Liu JHe SChen ZLi LKang YZhang XHe PZhang HLin QXu ZRajmohan SZhang DLyu MGrundy JPollock LPenta M(2023)Incident-Aware Duplicate Ticket Aggregation for Cloud SystemsProceedings of the 45th International Conference on Software Engineering10.1109/ICSE48619.2023.00193(2299-2311)Online publication date: 14-May-2023
https://dl.acm.org/doi/10.1109/ICSE48619.2023.00193
Fang SZhang TTan YJiang HXia XSun XGrundy JPollock LPenta M(2023)RepresentThemAll: A Universal Learning Representation of Bug ReportsProceedings of the 45th International Conference on Software Engineering10.1109/ICSE48619.2023.00060(602-614)Online publication date: 14-May-2023
https://dl.acm.org/doi/10.1109/ICSE48619.2023.00060
Wu XShan WZheng WChen ZRen TSun X(2023)An Intelligent Duplicate Bug Report Detection Method Based on Technical Term Extraction2023 IEEE/ACM International Conference on Automation of Software Test (AST)10.1109/AST58925.2023.00005(1-12)Online publication date: May-2023
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Lüders CBouraffa AMaalej WLo DMcIntosh SNovielli N(2022)Beyond duplicatesProceedings of the 19th International Conference on Mining Software Repositories10.1145/3524842.3528457(48-60)Online publication date: 23-May-2022
https://dl.acm.org/doi/10.1145/3524842.3528457
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