Exploring the Impact of Toxic Comments in Code Quality

Jaime Sayago-Heredia, Gustavo Chango, Ricardo Pérez-Castillo, Mario Piattini

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

Software development has an important human-side, which implies that developers' feelings have a significant impact to software development and could affect developers' quality, productivity, and performance. In this paper, we explore the process to find, understand and relate the effects of toxic emotions on code quality. We propose a tool and sentiments dataset, a clean set of commit messages, extracted from SonarQube code quality metrics and toxic comments obtained from GitHub. Moreover, we perform a preliminary statistical analysis of the dataset. We apply natural language processing techniques to identify toxic developer sentiments on commits that could impact code quality. Our study describes data retrieval process along with tools used for performing a preliminary analysis. The preliminary dataset is available in CSV format to facilitate queries on the data and to investigate in depth factors that impact developer emotions. Preliminary results imply that there is a relationship between toxic comments and code quality that may affect the quality of the software project. Future research will be the development of a complete dataset and an in-depth analysis for efficiency validation experiments along with a linear regression. Finally, we will estimate the code quality as a function of developers' toxic comments.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2022
EditoresHermann Kaindl, Mike Mannion, Leszek Maciaszek, Leszek Maciaszek
EditorialScience and Technology Publications, Lda
Páginas335-343
Número de páginas9
ISBN (versión digital)9789897585685
DOI
EstadoPublicada - 2022
Evento17th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2022 - Virtual, Online
Duración: 25 abr. 202226 abr. 2022

Serie de la publicación

NombreInternational Conference on Evaluation of Novel Approaches to Software Engineering, ENASE - Proceedings
ISSN (versión digital)2184-4895

Conferencia

Conferencia17th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2022
CiudadVirtual, Online
Período25/04/2226/04/22

Nota bibliográfica

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