GCN-Based Issues Classification in Software Repository
Graph Convolutional Network (GCN) have demon- strated significant potential in various fields, particu- larly in classification tasks. This study introduces GCN- based methodology for classifying issues in software repositories, highlighting advancements in agile soft- ware development. Utilizing th...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
LibraryPress@UF
2024-05-01
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| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Online Access: | https://journals.flvc.org/FLAIRS/article/view/135562 |
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| _version_ | 1849736797649633280 |
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| author | Bader Alshemaimri Nafla Alrumayyan Reem Alqadi |
| author_facet | Bader Alshemaimri Nafla Alrumayyan Reem Alqadi |
| author_sort | Bader Alshemaimri |
| collection | DOAJ |
| description | Graph Convolutional Network (GCN) have demon- strated significant potential in various fields, particu- larly in classification tasks. This study introduces GCN- based methodology for classifying issues in software repositories, highlighting advancements in agile soft- ware development. Utilizing the dataset by Tawosi et al.(Tawosi et al. 2022), our research demonstrates the potential of GCNs to accurately categorize software is- sues into bugs, improvements, and tasks. Our results indicate a significant improvement in issue classifi- cation, especially for bugs. Additionally, we explore Fast Text GCN model, underlining their efficiency in handling dynamic, evolving datasets. This paper con- tributes to the fields of software engineering and ma- chine learning, offering novel insights into enhancing issue management in software projects. |
| format | Article |
| id | doaj-art-0490b7eaacd446cb94ad637aaa9d3d3a |
| institution | DOAJ |
| issn | 2334-0754 2334-0762 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | LibraryPress@UF |
| record_format | Article |
| series | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| spelling | doaj-art-0490b7eaacd446cb94ad637aaa9d3d3a2025-08-20T03:07:10ZengLibraryPress@UFProceedings of the International Florida Artificial Intelligence Research Society Conference2334-07542334-07622024-05-013710.32473/flairs.37.1.13556271941GCN-Based Issues Classification in Software RepositoryBader Alshemaimri0Nafla AlrumayyanReem AlqadiKing Saud UniversityGraph Convolutional Network (GCN) have demon- strated significant potential in various fields, particu- larly in classification tasks. This study introduces GCN- based methodology for classifying issues in software repositories, highlighting advancements in agile soft- ware development. Utilizing the dataset by Tawosi et al.(Tawosi et al. 2022), our research demonstrates the potential of GCNs to accurately categorize software is- sues into bugs, improvements, and tasks. Our results indicate a significant improvement in issue classifi- cation, especially for bugs. Additionally, we explore Fast Text GCN model, underlining their efficiency in handling dynamic, evolving datasets. This paper con- tributes to the fields of software engineering and ma- chine learning, offering novel insights into enhancing issue management in software projects.https://journals.flvc.org/FLAIRS/article/view/135562 |
| spellingShingle | Bader Alshemaimri Nafla Alrumayyan Reem Alqadi GCN-Based Issues Classification in Software Repository Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| title | GCN-Based Issues Classification in Software Repository |
| title_full | GCN-Based Issues Classification in Software Repository |
| title_fullStr | GCN-Based Issues Classification in Software Repository |
| title_full_unstemmed | GCN-Based Issues Classification in Software Repository |
| title_short | GCN-Based Issues Classification in Software Repository |
| title_sort | gcn based issues classification in software repository |
| url | https://journals.flvc.org/FLAIRS/article/view/135562 |
| work_keys_str_mv | AT baderalshemaimri gcnbasedissuesclassificationinsoftwarerepository AT naflaalrumayyan gcnbasedissuesclassificationinsoftwarerepository AT reemalqadi gcnbasedissuesclassificationinsoftwarerepository |