Publications

Innovating for Tomorrow: The Convergence of SE and Green AI

Authors: Luís Cruz, Xavier Franch Gutierrez, Silverio Martínez-Fernández

Published in: SE 2030 – International Workshop on Software Engineering in 2030.

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 phenomena, 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 paper, 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.

@INPROCEEDINGS{cruz2024innovating,
author={Lu\'{i}s Cruz, Xavier Franch Gutierrez, Silverio Mart\'{i}nez-Fern\'{a}ndez},
booktitle={International Workshop on Software Engineering in 2030 (SE 2030)}, 
title={Innovating for Tomorrow: The Convergence of SE and Green AI}, 
year={2024}}

Read me: Arxiv.