A Purpose-oriented Study on Open-source Software Commits and Their Impacts on Software Quality
Fuente:
arXiv
Guardado en:
| Autores principales: | , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866913717846802432 |
|---|---|
| author | He, Jincheng He, Zhongheng |
| author_facet | He, Jincheng He, Zhongheng |
| contents | Developing software with the source code open to the public is prevalent; however, similar to its closed counter part, open-source has quality problems, which cause functional failures, such as program breakdowns, and non-functional, such as long response times. Previous researchers have revealed when, where, how and what developers contribute to projects and how these aspects impact software quality. However, there has been little work on how different categories of commits impact software quality. To improve open-source software, we conducted this preliminary study to categorize commits, train prediction models to automate the classification, and investigate how commit quality is impacted by commits of different purposes. By identifying these impacts, we will establish a new set of guidelines for committing changes that will improve the quality. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_02232 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Purpose-oriented Study on Open-source Software Commits and Their Impacts on Software Quality He, Jincheng He, Zhongheng Software Engineering Developing software with the source code open to the public is prevalent; however, similar to its closed counter part, open-source has quality problems, which cause functional failures, such as program breakdowns, and non-functional, such as long response times. Previous researchers have revealed when, where, how and what developers contribute to projects and how these aspects impact software quality. However, there has been little work on how different categories of commits impact software quality. To improve open-source software, we conducted this preliminary study to categorize commits, train prediction models to automate the classification, and investigate how commit quality is impacted by commits of different purposes. By identifying these impacts, we will establish a new set of guidelines for committing changes that will improve the quality. |
| title | A Purpose-oriented Study on Open-source Software Commits and Their Impacts on Software Quality |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2503.02232 |