• DocumentCode
    2401400
  • Title

    Green mining: A methodology of relating software change to power consumption

  • Author

    Hindle, Abram

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB, Canada
  • fYear
    2012
  • fDate
    2-3 June 2012
  • Firstpage
    78
  • Lastpage
    87
  • Abstract
    Power consumption is becoming more and more important with the increased popularity of smart-phones, tablets and laptops. The threat of reducing a customer´s battery-life now hangs over the software developer who asks, “will this next change be the one that causes my software to drain a customer´s battery?” One solution is to detect power consumption regressions by measuring the power usage of tests, but this is time-consuming and often noisy. An alternative is to rely on software metrics that allow us to estimate the impact that a change might have on power consumption thus relieving the developer from expensive testing. This paper presents a general methodology for investigating the impact of software change on power consumption, we relate power consumption to software changes, and then investigate the impact of static OO software metrics on power consumption. We demonstrated that software change can effect power consumption using the Firefox web-browser and the Azureus/Vuze BitTorrent client. We found evidence of a potential relationship between some software metrics and power consumption. In conclusion, we explored the effect of software change on power consumption on two projects; and we provide an initial investigation on the impact of software metrics on power consumption.
  • Keywords
    mobile computing; power aware computing; power consumption; software metrics; Azureus/Vuze BitTorrent client; Firefox web-browser; green mining; power consumption regressions; software change; software metrics; Data mining; Fires; Mobile communication; Power demand; Power measurement; Software; Software metrics; dynamic analysis; mining software repositories; power; power consumption; software metrics; sustainable-software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mining Software Repositories (MSR), 2012 9th IEEE Working Conference on
  • Conference_Location
    Zurich
  • ISSN
    2160-1852
  • Print_ISBN
    978-1-4673-1760-3
  • Type

    conf

  • DOI
    10.1109/MSR.2012.6224303
  • Filename
    6224303