License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.10111.4
URN: urn:nbn:de:0030-drops-26248
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2010/2624/
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Ko, Andrew J. ; Young, Michal ; Andrews, Jamie ; Robinson, Brian P. ; Grechanik, Mark

Computing and Diagnosing Changes in Unit Test Energy Consumption

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10111.KoAndrew.Paper.2624.pdf (0.1 MB)

Abstract

Many developers have reason to be concerned with with power consumption. For example, mobile app developers want to minimize how much power their applications draw, while still providing useful functionality. However, developers have few tools to get feedback about changes to their application's power consumption behavior as they implement an application and make changes to it over time. We present a tool that, using a team's existing test cases, performs repeated measurements of energy consumption based on instructions executed, objects generated, and blocking latency, generating a distribution of energy use estimates for each test run, recording these distributions in a time series of distributions over time. Then, when these distributions change substantially, we inform the developer of this change, and offer them diagnostic information about the elements of their code potentially responsible for the change and the inputs responsible. Through this information, we believe that developers will be better enabled to relate recent changes in their code to changes in energy consumption, enabling them to better incorporate changes in software energy consumption into their software evolution decisions.

BibTeX - Entry

@InProceedings{ko_et_al:DagSemProc.10111.4,
  author =	{Ko, Andrew J. and Young, Michal and Andrews, Jamie and Robinson, Brian P. and Grechanik, Mark},
  title =	{{Computing and Diagnosing Changes in Unit Test Energy Consumption}},
  booktitle =	{Practical Software Testing : Tool Automation and Human Factors},
  pages =	{1--8},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10111},
  editor =	{Mark Harman and Henry Muccini and Wolfram Schulte and Tao Xie},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2010/2624},
  URN =		{urn:nbn:de:0030-drops-26248},
  doi =		{10.4230/DagSemProc.10111.4},
  annote =	{Keywords: Energy, oracles}
}

Keywords: Energy, oracles
Collection: 10111 - Practical Software Testing : Tool Automation and Human Factors
Issue Date: 2010
Date of publication: 28.06.2010

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