A software energy analysis method using ExecutableUML

Ryusuke Yoshimoto, Tomonori Kadono, Kenji Hisazumi, Akira Fukuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The power consumption of an embedded system has been increased. It is important to analyze energy consumption while taking software behaviors into account to reduce energy consumption. Some studies propose model-based energy analysis. Although these method can estimate energy usage within a short time as compared with code-based analysis, the problem is that these technique cannot detect the bottleneck of energy consumption in software behavior in the design stage. This paper proposes an energy consumption analysis method for multi-granularity of ExecutableUML models. The method is useful for detecting the bottleneck of energy consumption in software behavior in the design stage. We also demonstrate that the error of our energy analysis method is, on average, 9.0%.

Original languageEnglish
Title of host publicationProceedings of the 2016 IEEE Region 10 Conference, TENCON 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages218-221
Number of pages4
ISBN (Electronic)9781509025961
DOIs
Publication statusPublished - Feb 8 2017
Event2016 IEEE Region 10 Conference, TENCON 2016 - Singapore, Singapore
Duration: Nov 22 2016Nov 25 2016

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Other

Other2016 IEEE Region 10 Conference, TENCON 2016
CountrySingapore
CitySingapore
Period11/22/1611/25/16

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • Cite this

    Yoshimoto, R., Kadono, T., Hisazumi, K., & Fukuda, A. (2017). A software energy analysis method using ExecutableUML. In Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016 (pp. 218-221). [7847993] (IEEE Region 10 Annual International Conference, Proceedings/TENCON). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON.2016.7847993