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

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Abstract

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.

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Notes

  1. ISO/IEC JTC 1/SC 7, ISO/IEC 25010:2011, Systems and software engineering—Systems and software quality requirements and evaluation (square)—System and software quality models, 2011.

  2. ISO/IEC JTC1/SC7, Software engineering product quality model, 2001.

  3. http://www.itu.int/rec/T-REC-H.264.2/.

  4. www.youtube.com.

  5. www.facebook.com.

  6. www.google.com.

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Authors and Affiliations

  1. Department of Computer Science, Faculty of Exact Sciences, University of Bejaia, 06000, Bejaia, Algeria

    Mohamed Amine Beghoura & Abdallah Boukerram

  2. Department of Computer Science, University of Bordj Bou Arréridj, 34000, Bordj Bou Arréridj, Algeria

    Abdelhak Boubetra

Authors
  1. Mohamed Amine Beghoura
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  2. Abdelhak Boubetra
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Correspondence to Mohamed Amine Beghoura.

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Beghoura, M.A., Boubetra, A. & Boukerram, A. Green software requirements and measurement: random decision forests-based software energy consumption profiling. Requirements Eng 22, 27–40 (2017). https://doi.org/10.1007/s00766-015-0234-2

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