short-paper

Issue report classification using pre-trained language models

Authors:

Giuseppe Colavito,

Filippo Lanubile,

Nicole NovielliAuthors Info & Claims

NLBSE '22: Proceedings of the 1st International Workshop on Natural Language-based Software Engineering

Pages 29 - 32

https://doi.org/10.1145/3528588.3528659

Published: 01 February 2023 Publication History

Abstract

This paper describes our participation in the tool competition organized in the scope of the 1st International Workshop on Natural Language-based Software Engineering. We propose a supervised approach relying on fine-tuned BERT-based language models for the automatic classification of GitHub issues. We experimented with different pre-trained models, achieving the best performance with fine-tuned RoBERTa (F1 = .8591).

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Cited By

Rejithkumar GAnish PGhaisas SIzadi MDi Sorbo APanichella S(2024)Text-To-Text Generation for Issue Report ClassificationProceedings of the Third ACM/IEEE International Workshop on NL-based Software Engineering10.1145/3643787.3648042(53-56)Online publication date: 20-Apr-2024
https://dl.acm.org/doi/10.1145/3643787.3648042
Yokoyama DNishiura KMonden A(2024)Identifying Security Bugs in Issue Reports: Comparison of BERT, N-gram IDF and ChatGPT2024 IEEE/ACIS 22nd International Conference on Software Engineering Research, Management and Applications (SERA)10.1109/SERA61261.2024.10685583(328-333)Online publication date: 30-May-2024
https://doi.org/10.1109/SERA61261.2024.10685583
Colavito GLanubile FNovielli NQuaranta L(2024)Impact of data quality for automatic issue classification using pre-trained language modelsJournal of Systems and Software10.1016/j.jss.2023.111838210:COnline publication date: 25-Jun-2024
https://dl.acm.org/doi/10.1016/j.jss.2023.111838
Show More Cited By

Index Terms

Issue report classification using pre-trained language models
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Clustering and classification
2. Software and its engineering
  1. Software creation and management
    1. Software post-development issues

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Published In

cover image ACM Conferences

NLBSE '22: Proceedings of the 1st International Workshop on Natural Language-based Software Engineering

May 2022

87 pages

ISBN:9781450393430

DOI:10.1145/3528588

Conference Chairs:
Andrea Di Sorbo
University of Sannio, Benevento, Italy
,
Sebastiano Panichella
Zurich University of Applied Sciences, Zurich, Switzerland

Copyright © 2022 ACM.

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Published: 01 February 2023

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ICSE '22

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ICSE '22: 44th International Conference on Software Engineering

May 21, 2022

Pennsylvania, Pittsburgh

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2025 IEEE/ACM 46th International Conference on Software Engineering

April 26 - May 3, 2025

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Cited By

Rejithkumar GAnish PGhaisas SIzadi MDi Sorbo APanichella S(2024)Text-To-Text Generation for Issue Report ClassificationProceedings of the Third ACM/IEEE International Workshop on NL-based Software Engineering10.1145/3643787.3648042(53-56)Online publication date: 20-Apr-2024
https://dl.acm.org/doi/10.1145/3643787.3648042
Yokoyama DNishiura KMonden A(2024)Identifying Security Bugs in Issue Reports: Comparison of BERT, N-gram IDF and ChatGPT2024 IEEE/ACIS 22nd International Conference on Software Engineering Research, Management and Applications (SERA)10.1109/SERA61261.2024.10685583(328-333)Online publication date: 30-May-2024
https://doi.org/10.1109/SERA61261.2024.10685583
Colavito GLanubile FNovielli NQuaranta L(2024)Impact of data quality for automatic issue classification using pre-trained language modelsJournal of Systems and Software10.1016/j.jss.2023.111838210:COnline publication date: 25-Jun-2024
https://dl.acm.org/doi/10.1016/j.jss.2023.111838
Tsigkanos CRani PMüller SKehrer T(2023)Large Language Models: The Next Frontier for Variable Discovery within Metamorphic Testing?2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)10.1109/SANER56733.2023.00070(678-682)Online publication date: Mar-2023
https://doi.org/10.1109/SANER56733.2023.00070
Colavito GLanubile FNovielli N(2023)Few-Shot Learning for Issue Report Classification2023 IEEE/ACM 2nd International Workshop on Natural Language-Based Software Engineering (NLBSE)10.1109/NLBSE59153.2023.00011(16-19)Online publication date: May-2023
https://doi.org/10.1109/NLBSE59153.2023.00011
Laiq M(2023)An Intelligent Tool for Classifying Issue Reports2023 IEEE/ACM 2nd International Workshop on Natural Language-Based Software Engineering (NLBSE)10.1109/NLBSE59153.2023.00010(13-15)Online publication date: May-2023
https://doi.org/10.1109/NLBSE59153.2023.00010
Kallis RIzadi MPascarella LChaparro ORani P(2023)The NLBSE'23 Tool Competition2023 IEEE/ACM 2nd International Workshop on Natural Language-Based Software Engineering (NLBSE)10.1109/NLBSE59153.2023.00007(1-8)Online publication date: May-2023
https://doi.org/10.1109/NLBSE59153.2023.00007
Alhindi WAleid AJenhani IMkaouer M(2023)Issue-Labeler: an ALBERT-based Jira Plugin for Issue Classification2023 IEEE/ACM 10th International Conference on Mobile Software Engineering and Systems (MOBILESoft)10.1109/MOBILSoft59058.2023.00012(40-43)Online publication date: May-2023
https://doi.org/10.1109/MOBILSoft59058.2023.00012

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