Innovating for Tomorrow: The Convergence of Software Engineering and Green AI
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| Titel: | Innovating for Tomorrow: The Convergence of Software Engineering and Green AI |
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| Autoren: | Luís Cruz, Xavier Franch, Silverio Martínez-Fernández |
| Quelle: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| Verlagsinformationen: | Association for Computing Machinery (ACM), 2025. |
| Publikationsjahr: | 2025 |
| Schlagwörter: | Software engineering, Àrees temàtiques de la UPC::Informàtica::Enginyeria del software, Green software, Sustainability, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial, Green AI |
| Beschreibung: | The latest advancements in machine learning, specifically in foundation models, are revolutionizing the frontiers of existing software engineering (SE) processes. This is a bi-directional phenomenon, where (1) software systems are now challenged to provide AI-enabled features to their users, and (2) AI is used to automate tasks within the software development lifecycle. In an era where sustainability is a pressing societal concern, our community needs to adopt a long-term plan enabling a conscious transformation that aligns with environmental sustainability values. In this article, we reflect on the impact of adopting environmentally friendly practices to create AI-enabled software systems and make considerations on the environmental impact of using foundation models for software development. |
| Publikationsart: | Article |
| Dateibeschreibung: | application/pdf |
| Sprache: | English |
| ISSN: | 1557-7392 1049-331X |
| DOI: | 10.1145/3712007 |
| Zugangs-URL: | https://hdl.handle.net/2117/439624 https://doi.org/10.1145/3712007 |
| Rights: | CC BY |
| Dokumentencode: | edsair.doi.dedup.....f03f3a906cdefc2370eaae2b4a531fc2 |
| Datenbank: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstract: | The latest advancements in machine learning, specifically in foundation models, are revolutionizing the frontiers of existing software engineering (SE) processes. This is a bi-directional phenomenon, where (1) software systems are now challenged to provide AI-enabled features to their users, and (2) AI is used to automate tasks within the software development lifecycle. In an era where sustainability is a pressing societal concern, our community needs to adopt a long-term plan enabling a conscious transformation that aligns with environmental sustainability values. In this article, we reflect on the impact of adopting environmentally friendly practices to create AI-enabled software systems and make considerations on the environmental impact of using foundation models for software development. |
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| ISSN: | 15577392 1049331X |
| DOI: | 10.1145/3712007 |