Agile Processes in Software Engineering and Extreme Programming - Workshops (2025)
- Authors:
- Autor USP: LEJBMAN, ALFREDO GOLDMAN VEL - IME
- Unidade: IME
- DOI: 10.1007/978-3-031-72781-8
- Subjects: GESTÃO POR PROCESSOS; MÉTODOS DE DESENVOLVIMENTO DE SOFTWARE; MÉTODOS ÁGEIS; PROCESSO DE SOFTWARE
- Keywords: Open access; Risk management
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Business Information Processing
- ISSN: 1865-1356
- Volume/Número/Paginação/Ano: v. 524, 260 p, 2025
- Conference titles: International Conference on Agile Software Development - XP 2024 Workshop
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
Agile Processes in Software Engineering and Extreme Programming - Workshops. Lecture Notes in Business Information Processing. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-72781-8. Acesso em: 14 fev. 2026. , 2025 -
APA
Agile Processes in Software Engineering and Extreme Programming - Workshops. (2025). Agile Processes in Software Engineering and Extreme Programming - Workshops. Lecture Notes in Business Information Processing. Cham: Springer. doi:10.1007/978-3-031-72781-8 -
NLM
Agile Processes in Software Engineering and Extreme Programming - Workshops [Internet]. Lecture Notes in Business Information Processing. 2025 ; 524[citado 2026 fev. 14 ] Available from: https://doi.org/10.1007/978-3-031-72781-8 -
Vancouver
Agile Processes in Software Engineering and Extreme Programming - Workshops [Internet]. Lecture Notes in Business Information Processing. 2025 ; 524[citado 2026 fev. 14 ] Available from: https://doi.org/10.1007/978-3-031-72781-8 - 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
- A multithreaded resolution of the service selection problem based on domain decomposition and work stealing
Informações sobre o DOI: 10.1007/978-3-031-72781-8 (Fonte: oaDOI API)
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