Do Developers Adopt Green Architectural Tactics for ML-Enabled Systems? A Mining Software Repository Study

As machine learning (ML) and artificial intelligence (AI) technologies become more widespread, concerns about their environmental impact are increasing due to the resource-intensive nature of training and inference processes. Green AI advocates for reducing computational demands while still maintain...

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Veröffentlicht in:	IEEE/ACM International Conference on Software Engineering: Software Engineering in Society (Online) S. 135 - 139
Hauptverfasser:	De Martino, Vincenzo, Martinez-Fernandez, Silverio, Palomba, Fabio
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 27.04.2025
Schlagworte:	Automation Data mining Empirical Software Engineering Green AI Green products Large language models Machine learning Machine Learning-Enabled Systems Software development management Software engineering Software Sustainability Sustainable development System software Training
ISSN:	2832-7616
Online-Zugang:	Volltext
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