Developer Views on Software Carbon Footprint and Its Potential for Automated Reduction
Paper in 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.
Carbon Footprint
Genetic Improvement
Sustainability
Energy Consumption
Genetic Programming
Author
Haozhou Lyu
Gregory Gay
Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering
Maiko Sakamoto
Search-Based Software Engineering. SSBSE 2023. Lecture Notes in Computer Science, vol 14415
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Subject Categories
Software Engineering
DOI
10.1007/978-3-031-48796-5_3