TY - GEN
T1 - A software energy analysis method using ExecutableUML
AU - Yoshimoto, Ryusuke
AU - Kadono, Tomonori
AU - Hisazumi, Kenji
AU - Fukuda, Akira
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/2/8
Y1 - 2017/2/8
N2 - 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%.
AB - 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%.
UR - http://www.scopus.com/inward/record.url?scp=85015359329&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015359329&partnerID=8YFLogxK
U2 - 10.1109/TENCON.2016.7847993
DO - 10.1109/TENCON.2016.7847993
M3 - Conference contribution
AN - SCOPUS:85015359329
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
SP - 218
EP - 221
BT - Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE Region 10 Conference, TENCON 2016
Y2 - 22 November 2016 through 25 November 2016
ER -