| Texto completo | |
| Autor(es): Mostrar menos - |
Correia, Joao
;
Coutinho, Daniel
;
Garcia, Alessandro
;
de Mello, Rafael
;
Barbosa, Caio
;
Oliveira, Anderson
;
Assuncao, Wesley K. G.
;
Pereira, Juliana Alves
;
Steinmacher, Igor
;
Gerosa, Marco
;
Souza, Jairo
;
Arriel, Johny
Número total de Autores: 12
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| Tipo de documento: | Artigo Científico |
| Fonte: | 2024 IEEE INTERNATIONAL CONFERENCE ON SOURCE CODE ANALYSIS AND MANIPULATION, SCAM 2024; v. N/A, p. 11-pg., 2024-01-01. |
| Resumo | |
Robustness is critical for ensuring that software functions correctly under adverse conditions. Exception-handling mechanisms in programming languages enable developers to deal with these adverse conditions. However, implementing exception-related code can present significant challenges to developers. We investigated exception-related code contributions across Java projects in the Apache ecosystem. We analyzed exceptionrelated pull requests (exception-PRs), which were detected using a validated heuristic. We produced a comprehensive dataset of 988 exception-PRs. We observed no statistically significant differences in complexity metrics between exception-PRs and non-exception-PRs. We also found no significant differences in developers' behavior metrics, indicating consistent engagement regardless of whether the pull request addressed exception-related code. A manual analysis revealed that most exception-PRs focused on system improvements rather than bug fixes, suggesting proactive efforts to enhance software robustness. Moreover, the most frequently addressed aspects of exceptional code in these exception-PRs were: (i) the external representation of adverse situations to end-users (more than 40% of the PRs) and (ii) the implementation of effective error-handling actions (nearly 35% of the PRs) to promote program recoverability. Interestingly, a significant proportion of exception-PRs simultaneously addressed multiple aspects. By understanding the nature and characteristics of exception-PRs, we expect to better support developers in managing erroneous conditions and improving software robustness. (AU) | |
| Processo FAPESP: | 23/00811-0 - EcoSustain - Ciência de Dados e Computação para o Meio Ambiente |
| Beneficiário: | Antonio Jorge Gomes Abelém |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |