Developer Views on Software Carbon Footprint and Its Potential for Automated Reduction
Pages 35 - 51
Abstract
Reducing software carbon footprint could contribute to efforts to avert climate change. Past research indicates that developers lack knowledge on energy consumption and carbon footprint, and existing reduction guidelines are difficult to apply. Therefore, we propose that automated reduction methods should be explored, e.g., through genetic improvement. However, such tools must be voluntarily adopted and regularly used to have an impact.
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.
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Published In
Dec 2023
179 pages
ISBN:978-3-031-48795-8
DOI:10.1007/978-3-031-48796-5
- Editors:
- Paolo Arcaini,
- Tao Yue,
- Erik M. Fredericks
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 08 December 2023
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