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https://hdl.handle.net/1822/90183| Título: | Energy efficient software in an engineering course |
| Autor(es): | Saraiva, João Pereira, Rui Alexandre Afonso |
| Palavras-chave: | Sustainable Software Development Energy Efficient Software |
| Data: | 2023 |
| Editora: | Springer |
| Revista: | Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Citação: | Saraiva, J., Pereira, R. (2023). Energy Efficient Software in an Engineering Course. In: Porkoláb, Z., Zsók, V. (eds) Composability, Comprehensibility and Correctness of Working Software. CEFP 2019. Lecture Notes in Computer Science, vol 11950. Springer, Cham. https://doi.org/10.1007/978-3-031-42833-3_3 |
| Resumo(s): | Sustainable development has become an increasingly important theme not only in the world politics, but also an increasingly central theme for the engineering professions around the world. Software engineers are no exception as shown in various recent research studies. Despite the intensive research on green software, today’s undergraduate computing education often fails to address our environmental responsibility. We present a module on energy efficient software that we introduced as part of an advanced course on software analysis and testing. In this module we study techniques and tools to analyze and optimize energy consumption of software systems. Preliminary results of the first four instances of this course show that students are able to optimize the energy consumption of software systems. |
| Tipo: | Artigo em ata de conferência |
| URI: | https://hdl.handle.net/1822/90183 |
| ISBN: | 978-3-031-42832-6 |
| e-ISBN: | ISBN 978-3-031-42833-3 |
| DOI: | 10.1007/978-3-031-42833-3_3 |
| ISSN: | 0302-9743 |
| Versão da editora: | https://link.springer.com/chapter/10.1007/978-3-031-42833-3_3 |
| Arbitragem científica: | yes |
| Acesso: | Acesso aberto |
| Aparece nas coleções: |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| 3COWS_2019_Summer_paper_11.pdf | 376,01 kB | Adobe PDF | Ver/Abrir |
