Developer Views on Software Carbon Footprint and Its Potential for Automated Reduction
Paper i proceeding, 2024
In this study, we have conducted interviews and a survey (a) to explore developers’ existing opinions, knowledge, and practices with regard to carbon footprint and energy consumption, and (b), to identify the requirements that automated reduction tools must meet to ensure adoption. Our findings offer a foundation for future research on practices, guidelines, and automated tools that address software carbon footprint.
Sustainability
Genetic Improvement
Energy Consumption
Genetic Programming
Carbon Footprint
Författare
Haozhou Lyu
Student vid Chalmers
Gregory Gay
Göteborgs universitet
Software Engineering 1
Maiko Sakamoto
University of Tokyo
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
03029743 (ISSN) 16113349 (eISSN)
Vol. 14415 LNCS 35-51San Francisco, USA,
Ämneskategorier (SSIF 2011)
Programvaruteknik
DOI
10.1007/978-3-031-48796-5_3