Revisiting Aristotle vs. Ringelmann: the influence of biases on measuring productivity in open source software development (2024)
- Authors:
- USP affiliated authors: LEJBMAN, ALFREDO GOLDMAN VEL - IME ; GUT, CHRISTIAN MANFRED TONI - IME
- Unidade: IME
- DOI: 10.5753/sbes.2024.3275
- Subjects: SOFTWARE LIVRE; MINERAÇÃO DE DADOS; DESENVOLVIMENTO DE SOFTWARE; ENGENHARIA DE SOFTWARE
- Keywords: Mining Software Repositories; Open Source; Empirical Software Engineering; Software Development Productivity,; GitHub; Instrumentation Bias; Repositórios de software de mineração
- Language: Inglês
- Imprenta:
- Publisher: Sociedade Brasileira de Computação
- Date published: 2024
- Source:
- Título: Anais
- Volume/Número/Paginação/Ano: p.58-68, 2024
- Conference titles: Simpósio Brasileiro de Engenharia de Software (SBES 2024)
- Este artigo possui versão em acesso aberto
- URL de acesso aberto
- PDF de acesso aberto
- Versão do Documento: Versão publicada (Published version)
-
Status: Artigo publicado em periódico de acesso aberto (Gold Open Access) -
ABNT
GUT, Christian e GOLDMAN, Alfredo. Revisiting Aristotle vs. Ringelmann: the influence of biases on measuring productivity in open source software development. 2024, Anais.. [S.l.]: Sociedade Brasileira de Computação, 2024. p. 58-68. Disponível em: https://doi.org/10.5753/sbes.2024.3275. Acesso em: 11 mar. 2026. -
APA
Gut, C., & Goldman, A. (2024). Revisiting Aristotle vs. Ringelmann: the influence of biases on measuring productivity in open source software development. In Anais (p. 58-68). Sociedade Brasileira de Computação. doi:10.5753/sbes.2024.3275 -
NLM
Gut C, Goldman A. Revisiting Aristotle vs. Ringelmann: the influence of biases on measuring productivity in open source software development [Internet]. Anais. 2024 ;58-68.[citado 2026 mar. 11 ] Available from: https://doi.org/10.5753/sbes.2024.3275 -
Vancouver
Gut C, Goldman A. Revisiting Aristotle vs. Ringelmann: the influence of biases on measuring productivity in open source software development [Internet]. Anais. 2024 ;58-68.[citado 2026 mar. 11 ] Available from: https://doi.org/10.5753/sbes.2024.3275 - Analyzing productivity in open source software development: an explainable AI approach using SHAP and causal discovery
- The influence of organizational factors on inter-team knowledge sharing effectiveness in agile environments
- Improving the performance of actor model runtime environments on multicore and manycore platforms
- Towards automatic actor pinning on multi-core architectures
- A simple BSP-based model to predict execution time in GPU applications
- A comparison of GPU execution time prediction using machine learning and analytical modeling
- Message from the program committee co-chairs. [Apresentação]
- Useful statistical methods for human factors research in software engineering: a discussion on validation with quantitative data
- Trying to increase the mature use of agile practices by Group Development Psychology Training: an experiment
- Scheduling moldable BSP tasks on clouds
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
_3237326.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
