Effective Bug Triage for Software Development and Maintenance
Software businesses allocate about 45% of their budget to resolving issues. Bug triage is an essential step in the bug-fixing process that aims to effectively provide a developer with information about a new bug. This research focusses on the issue of data minimization in bug triage, which involves...
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| Format: | Article |
| Language: | English English |
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INTI International University
2024
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/1974/ http://eprints.intimal.edu.my/1974/1/518 http://eprints.intimal.edu.my/1974/2/ij2024_27r.pdf |
| _version_ | 1848766974918656000 |
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| author | S. Sai, Kishore Chitra, K. Nur Fatin Liyana, Mohd Rosely |
| author_facet | S. Sai, Kishore Chitra, K. Nur Fatin Liyana, Mohd Rosely |
| author_sort | S. Sai, Kishore |
| building | INTI Institutional Repository |
| collection | Online Access |
| description | Software businesses allocate about 45% of their budget to resolving issues. Bug triage is an essential step in the bug-fixing process that aims to effectively provide a developer with information about a new bug. This research focusses on the issue of data minimization in bug triage, which involves reducing and enhancing the quality of bug data. Utilize instance and feature selection techniques to simultaneously decrease the size of both the word and data dimensions related to bugs. The objective is to construct a prediction model for a novel bug data set by utilizing qualities from previous bug data sets. Additionally, we aim to assess the comparative significance of employing feature and instance selection in the sequence in which they are implemented. Empirically evaluate the effectiveness of data reduction by analyzing a total of 600,000 bug reports from two significant open-source projects, Mozilla and Eclipse. The findings indicate that our data reduction technique has the potential to effectively decrease the bulk of data while enhancing bug triage accuracy. Our study effort presents a methodology for utilizing data processing techniques to provide superior, sparsely populated bug data for the sake of software development and maintenance. |
| first_indexed | 2025-11-14T11:58:16Z |
| format | Article |
| id | intimal-1974 |
| institution | INTI International University |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T11:59:40Z |
| publishDate | 2024 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-19742025-07-30T07:52:37Z http://eprints.intimal.edu.my/1974/ Effective Bug Triage for Software Development and Maintenance S. Sai, Kishore Chitra, K. Nur Fatin Liyana, Mohd Rosely Q Science (General) QA75 Electronic computers. Computer science QA76 Computer software Software businesses allocate about 45% of their budget to resolving issues. Bug triage is an essential step in the bug-fixing process that aims to effectively provide a developer with information about a new bug. This research focusses on the issue of data minimization in bug triage, which involves reducing and enhancing the quality of bug data. Utilize instance and feature selection techniques to simultaneously decrease the size of both the word and data dimensions related to bugs. The objective is to construct a prediction model for a novel bug data set by utilizing qualities from previous bug data sets. Additionally, we aim to assess the comparative significance of employing feature and instance selection in the sequence in which they are implemented. Empirically evaluate the effectiveness of data reduction by analyzing a total of 600,000 bug reports from two significant open-source projects, Mozilla and Eclipse. The findings indicate that our data reduction technique has the potential to effectively decrease the bulk of data while enhancing bug triage accuracy. Our study effort presents a methodology for utilizing data processing techniques to provide superior, sparsely populated bug data for the sake of software development and maintenance. INTI International University 2024-08 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1974/1/518 text en cc_by_4 http://eprints.intimal.edu.my/1974/2/ij2024_27r.pdf S. Sai, Kishore and Chitra, K. and Nur Fatin Liyana, Mohd Rosely (2024) Effective Bug Triage for Software Development and Maintenance. INTI JOURNAL, 2024 (27). pp. 1-7. ISSN e2600-7320 https://intijournal.intimal.edu.my |
| spellingShingle | Q Science (General) QA75 Electronic computers. Computer science QA76 Computer software S. Sai, Kishore Chitra, K. Nur Fatin Liyana, Mohd Rosely Effective Bug Triage for Software Development and Maintenance |
| title | Effective Bug Triage for Software Development and Maintenance |
| title_full | Effective Bug Triage for Software Development and Maintenance |
| title_fullStr | Effective Bug Triage for Software Development and Maintenance |
| title_full_unstemmed | Effective Bug Triage for Software Development and Maintenance |
| title_short | Effective Bug Triage for Software Development and Maintenance |
| title_sort | effective bug triage for software development and maintenance |
| topic | Q Science (General) QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://eprints.intimal.edu.my/1974/ http://eprints.intimal.edu.my/1974/ http://eprints.intimal.edu.my/1974/1/518 http://eprints.intimal.edu.my/1974/2/ij2024_27r.pdf |