Green software requirements and measurement: random decision forests-based software energy consumption profiling

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• 作者：Mohamed Amine Beghoura ; Abdelhak Boubetra ; Abdallah Boukerram
• 关键词：Software engineering ; Energy consumption model ; Green software ; Green requirements ; Software development ; Green software engineering ; Random decision forests ; Multiple regression model
• 刊名：Requirements Engineering
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：22
• 期：1
• 页码：27-40
• 全文大小：
• 刊物类别：Computer Science
• 刊物主题：Software Engineering;
• 出版者：Springer London
• ISSN：1432-010X
• 卷排序：22

文摘

This paper proposes an explicit definition of green software requirements and a tool to support their evaluation. The proposed evaluation tool describes the green efficiency by considering the energy consumption as the main aspect to be studied during the development stage. This approach consists of building a multiple regression model, by using a supervised learning algorithm, in order to reproduce the energy consumption pattern of devices at different workload circumstances. The energy consumption model is then deployed to estimate the impact of software applications based on their resource usage. Our work has been validated on desktop and mobile devices. The experiments show the effectiveness of the proposed energy profiling tool that provided relevant information on the energy consumption of software applications.