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Energy Optimisation via Genetic Improvement: A SBSE technique for a new era in Software Development

Published:11 July 2015Publication History

ABSTRACT

The discipline of Software Engineering has arisen during a time in which developers rarely concerned themselves with the energy efficiency of their software. Due to the growth in both mobile devices and large server clusters this period is undoubtedly coming to an end and, as such, new tools for creating energy-efficient software are required. This paper takes the position that Genetic Improvement, a Search-Based Software Engineering technique, has the potential to aid developers in refactoring their software to a more energy-efficient state; allowing focus to remain on functional requirements while leaving concerns over energy consumption to an automated process.

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    • Published in

      cover image ACM Conferences
      GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation
      July 2015
      1568 pages
      ISBN:9781450334884
      DOI:10.1145/2739482

      Copyright © 2015 ACM

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      New York, NY, United States

      Publication History

      • Published: 11 July 2015

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