Muestra métricas de impacto externas asociadas a la publicación. Para mayor detalle:
| Indexado |
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| DOI | 10.1016/J.SOFTX.2024.101947 | ||||
| Año | 2024 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Software Capstone Projects provide valuable hands-on experience for students in software development, and creating effective commit messages is an essential, though often challenging, part of this process. These messages playa key role in managing repositories, facilitating collaboration, and offering insights into the project's progression for mentors and managers. However, creating high-quality commit messages can be challenging, especially for novice developers. We introduce LetsCommit, a tool designed to improve the traditional Git commit command line interface. The tool utilizes three state-of-the-art Large Language Models (LLMs): GPT-3.5, GPT-4, and LLaMa-2, to provide commit message suggestions to students. Results from a user experience survey showed high satisfaction, indicating strong potential for incorporating LetsCommit into future projects. Beyond its technical applications, LetsCommit possesses transformative potential in the field of education. The iterative learning process it supports, coupled with real-time insights, reinforces good software development practices and enhances the overall learning experience. These findings highlight LetsCommit's substantial impact on software engineering education, setting the stage for further advancements.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Neyem, Andres | - |
Pontificia Universidad Católica de Chile - Chile
Centro Nacional de Inteligencia Artificial (CENIA) - Chile Centro Nacional de Inteligencia Artificial - Chile |
| 2 | Rios-Letelier, Agustin | - |
Pontificia Universidad Católica de Chile - Chile
Centro Nacional de Inteligencia Artificial (CENIA) - Chile Centro Nacional de Inteligencia Artificial - Chile |
| 3 | Cespedes-Arancibia, Kevin | - |
Pontificia Universidad Católica de Chile - Chile
|
| 4 | Alcocer, Juan Pablo Sandoval | - |
Pontificia Universidad Católica de Chile - Chile
|
| 5 | MENDOZA-ROCHA, MARCELO GABRIEL | Hombre |
Pontificia Universidad Católica de Chile - Chile
Centro Nacional de Inteligencia Artificial (CENIA) - Chile Instituto Milenio Fundamentos de los Datos - Chile Centro Nacional de Inteligencia Artificial - Chile |
| Fuente |
|---|
| Chilean National Agency for Research and Development ANID |
| CENIA |
| National Center for Artificial Intelligence |
| National Center for Artificial Intelligence (CENIA) |
| Chilean National Agency for Research and Development ANID)/Scholarship Program |
| Agradecimiento |
|---|
| Andres Neyem, Agustin Rios-Letelier and Marcelo Mendoza are supported by the National Center for Artificial Intelligence (CENIA FB210017, Basal ANID). Kevin Cespedes-Arancibia is supported by the Chilean National Agency for Research and Development ANID)/Scholarship Program/DOCTORADO NACIONAL/2024-21241430. Finally, the authors would like to thank all the students from the IIC2154 capstone course who were involved in this educational research project. |
| Andres Neyem, Agustin Rios-Letelier and Marcelo Mendoza are supported by the National Center for Artificial Intelligence (CENIA FB210017, Basal ANID). Kevin C\u00E9spedes-Arancibia is supported by the Chilean National Agency for Research and Development ANID)/Scholarship Program/DOCTORADO NACIONAL/ 2024-21241430 . Finally, the authors would like to thank all the students from the IIC2154 capstone course who were involved in this educational research project. |