Developer Views on Software Carbon Footprint and Its Potential for Automated Reduction
Paper i proceeding, 2023
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.
Genetic Improvement
Genetic Programming
Carbon Footprint
Energy Consumption
Sustainability
Författare
Haozhou Lyu
Student vid Chalmers
Gregory Gay
Göteborgs universitet
Maiko Sakamoto
University of Tokyo
Search-Based Software Engineering. SSBSE 2023. Lecture Notes in Computer Science, vol 14415
Vol. 14415 LNC 35-51
San Francisco, USA,
Ämneskategorier
Programvaruteknik
DOI
10.1007/978-3-031-48796-5_3