• DocumentCode
    2441186
  • Title

    Green mining: Investigating power consumption across versions

  • Author

    Hindle, Abram

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB, Canada
  • fYear
    2012
  • fDate
    2-9 June 2012
  • Firstpage
    1301
  • Lastpage
    1304
  • Abstract
    Power consumption is increasingly becoming a concern for not only electrical engineers, but for software engineers as well, due to the increasing popularity of new power-limited contexts such as mobile-computing, smart-phones and cloud-computing. Software changes can alter software power consumption behaviour and can cause power performance regressions. By tracking software power consumption we can build models to provide suggestions to avoid power regressions. There is much research on software power consumption, but little focus on the relationship between software changes and power consumption. Most work measures the power consumption of a single software task; instead we seek to extend this work across the history (revisions) of a project. We develop a set of tests for a well established product and then run those tests across all versions of the product while recording the power usage of these tests. We provide and demonstrate a methodology that enables the analysis of power consumption performance for over 500 nightly builds of Firefox 3.6; we show that software change does induce changes in power consumption. This methodology and case study are a first step towards combining power measurement and mining software repositories research, thus enabling developers to avoid power regressions via power consumption awareness.
  • Keywords
    data mining; environmental factors; power aware computing; power consumption; software engineering; Firefox 3.6; cloud-computing; green mining; mobile-computing; power regressions; smart-phones; software engineers; software power consumption behaviour; software repositories research; Air pollution; Data mining; Fires; Green products; Power demand; Power measurement; Software; dynamic analysis; mining software repositories; power; power consumption; sustainable-software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (ICSE), 2012 34th International Conference on
  • Conference_Location
    Zurich
  • ISSN
    0270-5257
  • Print_ISBN
    978-1-4673-1066-6
  • Electronic_ISBN
    0270-5257
  • Type

    conf

  • DOI
    10.1109/ICSE.2012.6227094
  • Filename
    6227094