Bug Analysis Towards Bug Resolution Time Prediction
Fuente:
arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866911973486100480 |
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| author | Ozkan, Hasan Yagiz Heegaard, Poul Einer Kellerer, Wolfgang Mas-Machuca, Carmen |
| author_facet | Ozkan, Hasan Yagiz Heegaard, Poul Einer Kellerer, Wolfgang Mas-Machuca, Carmen |
| contents | Bugs are inevitable in software development, and their reporting in open repositories can enhance software transparency and reliability assessment. This study aims to extract information from the issue tracking system Jira and proposes a methodology to estimate resolution time for new bugs. The methodology is applied to network project ONAP, addressing concerns of network operators and manufacturers. This research provides insights into bug resolution times and related aspects in network softwarization projects. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_21241 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Bug Analysis Towards Bug Resolution Time Prediction Ozkan, Hasan Yagiz Heegaard, Poul Einer Kellerer, Wolfgang Mas-Machuca, Carmen Software Engineering Artificial Intelligence Bugs are inevitable in software development, and their reporting in open repositories can enhance software transparency and reliability assessment. This study aims to extract information from the issue tracking system Jira and proposes a methodology to estimate resolution time for new bugs. The methodology is applied to network project ONAP, addressing concerns of network operators and manufacturers. This research provides insights into bug resolution times and related aspects in network softwarization projects. |
| title | Bug Analysis Towards Bug Resolution Time Prediction |
| topic | Software Engineering Artificial Intelligence |
| url | https://arxiv.org/abs/2407.21241 |