- author = "Haozhou Lyu and Gregory Gay and Maiko Sakamoto",
- title = "Developer Views on Software CarbonFootprint and Its Potential for AutomatedReduction",
- booktitle = "SSBSE 2023",
- year = "2023",
- editor = "Paolo Arcaini and Tao Yue and Erik Fredericks",
- organisers = "Erik Fredericks and Paolo Arcaini and Tao Yue and Rebecca Moussa and Thomas Vogel and Gregory Gay and Max Hort and Bobby R. Bruce and Jose Miguel Rojas and Vali Tawosi",
- volume = "14415",
- series = "LNCS",
- pages = "35--51",
- address = "San Francisco, USA",
- month = "8 " # dec,
- publisher = "Springer",
- keywords = "genetic algorithms, genetic programming, Genetic Improvement, Carbon Footprint, Energy Consumption, Sustainability",
- isbn13 = "978-3-031-48795-8",
-
DOI = "
doi:10.1007/978-3-031-48796-5_3",
- size = "17 pages",
-
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.
have conducted interviews and a survey (a) to explore developers existing opinions, knowledge, and practices with regard to carbon foot-print and energy consumption, and (b), to identify the requirements that automated reduction tools must meet to ensure adoption.",
-
notes = "See also MSc http://hdl.handle.net/20.500.12380/306723
https://odr.chalmers.se/items/c832b3a9-609d-40af-bc39-b96278686042
co-located with ESEC/FSE 2023. https://conf.researchr.org/home/ssbse-2023",
