Prototype of a tool for automatic generation of commit messages for Java applications
Although version control systems allow developers to describe and explain the rationale behind code changes in commit messages, the state of practice indicates that most of the time such commit messages are either very short or even empty. In fact, in a recent study of 23K+ Java projects it has been...
- Autores:
-
Cortés Coy, Luis Fernando
- Tipo de recurso:
- Fecha de publicación:
- 2014
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/52452
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/52452
http://bdigital.unal.edu.co/46795/
- Palabra clave:
- 0 Generalidades / Computer science, information and general works
62 Ingeniería y operaciones afines / Engineering
Commit message
Software summarization
Code changes
Mensaje de commit
Cambios al codigo fuente
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
| Summary: | Although version control systems allow developers to describe and explain the rationale behind code changes in commit messages, the state of practice indicates that most of the time such commit messages are either very short or even empty. In fact, in a recent study of 23K+ Java projects it has been found that only 10% of the messages are descriptive and over 66% of those messages contained fewer words as compared to a typical English sentence. However, accurate and complete commit messages summarizing software changes are important to support a number of development and maintenance tasks. This thesis presents an approach, coined as ChangeScribe, which is designed to generate commit messages automatically from change sets. ChangeScribe generates natural language commit messages by taking into account commit stereotype, the type of changes (e.g., files rename, changes done only to property files), as well as the impact set of the underlying changes. This work presents the evaluation of ChangeScribe in an evaluative survey involving 23 developers in which the participants analyzed automatically generated commit messages from real changes and compared them with commit messages written by the original developers of six open source systems. The results demonstrate that automatically generated messages by ChangeScribe are preferred in about 62% of the cases for large commits, and about 54% for small commits |
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