Predicting the Impact of Crashes Across Release Channels
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| author | Mujahid, Suhaib Costa, Diego Elias Castelluccio, Marco |
| author_facet | Mujahid, Suhaib Costa, Diego Elias Castelluccio, Marco |
| contents | Software maintenance faces a persistent challenge with crash bugs, especially across diverse release channels catering to distinct user bases. Nightly builds, favoured by enthusiasts, often reveal crashes that are cheaper to fix but may differ significantly from those in stable releases. In this paper, we emphasize the need for a data-driven solution to predict the impact of crashes happening on nightly channels once they are released to stable channels. We also list the challenges that need to be considered when approaching this problem. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_13667 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Predicting the Impact of Crashes Across Release Channels Mujahid, Suhaib Costa, Diego Elias Castelluccio, Marco Software Engineering Software maintenance faces a persistent challenge with crash bugs, especially across diverse release channels catering to distinct user bases. Nightly builds, favoured by enthusiasts, often reveal crashes that are cheaper to fix but may differ significantly from those in stable releases. In this paper, we emphasize the need for a data-driven solution to predict the impact of crashes happening on nightly channels once they are released to stable channels. We also list the challenges that need to be considered when approaching this problem. |
| title | Predicting the Impact of Crashes Across Release Channels |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2401.13667 |