Assessing the Impact of Refactoring Energy-Inefficient Code Patterns on Software Sustainability: An Industry Case Study

Advances in technologies like artificial intelligence and metaverse have led to a proliferation of software systems in business and everyday life. With this widespread penetration, the carbon emissions of software are rapidly growing as well, thereby negatively impacting the long-term sustainability...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:IEEE/ACM International Conference on Automated Software Engineering : [proceedings] s. 1825 - 1827
Hlavní autori: Mehra, Rohit, Pathania, Priyavanshi, Sharma, Vibhu Saujanya, Kaulgud, Vikrant, Podder, Sanjay, Burden, Adam P.
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 11.09.2023
Predmet:
Carbon dioxide
Codes
Energy consumption
Industries
Metaverse
Software systems
Sustainable development
ISSN:2643-1572
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:Advances in technologies like artificial intelligence and metaverse have led to a proliferation of software systems in business and everyday life. With this widespread penetration, the carbon emissions of software are rapidly growing as well, thereby negatively impacting the long-term sustainability of our environment. Hence, optimizing software from a sustainability standpoint becomes more crucial than ever. We believe that the adoption of automated tools that can identify energy-inefficient patterns in the code and guide appropriate refactoring can significantly assist in this optimization. In this extended abstract, we present an industry case study that evaluates the sustainability impact of refactoring energy -inefficient code patterns identified by automated software sustainability assessment tools for a large application. Preliminary results highlight a positive impact on the application's sustainability post-refactoring, leading to a 29% decrease in per-user per-month energy consumption.
ISSN:2643-1572
DOI:10.1109/ASE56229.2023.00205