Abstract
This paper briefly proposes a technique to detect energy inefficient fragments in the source code of a software system. Test cases are executed to obtain energy consumption measurements, and a statistical method, based on spectrum-basedfault localization, is introduced to relate energy consumption to the system's source code. The result of our technique is an energy ranking of source code fragments pointing developers to possible energy leaks in their code.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2017 IEEE/ACM 39th International Conference on Software Engineering Companion, ICSE-C 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 238-240 |
| Number of pages | 3 |
| ISBN (Electronic) | 978-1-5386-1589-8 |
| DOIs | |
| Publication status | Published - 30 Jun 2017 |
| Event | 39th IEEE/ACM International Conference on Software Engineering Companion, ICSE-C 2017 - Buenos Aires, Argentina Duration: 20 May 2017 → 28 May 2017 |
Conference
| Conference | 39th IEEE/ACM International Conference on Software Engineering Companion, ICSE-C 2017 |
|---|---|
| Country | Argentina |
| City | Buenos Aires |
| Period | 20/05/17 → 28/05/17 |
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Keywords
- Fault Localization
- Green Computing
- Program Optimization
Cite this
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Helping programmers improve the energy efficiency of source code. / Pereira, Rui; Carcao, Tiago; Couto, Marco; Cunha, Jacome; Fernandes, Joao Paulo; Saraiva, Joao.
Proceedings - 2017 IEEE/ACM 39th International Conference on Software Engineering Companion, ICSE-C 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 238-240 7965316.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Helping programmers improve the energy efficiency of source code
AU - Pereira, Rui
AU - Carcao, Tiago
AU - Couto, Marco
AU - Cunha, Jacome
AU - Fernandes, Joao Paulo
AU - Saraiva, Joao
N1 - COMPETE 2020 Programme and by National Funds through the Portuguese funding agency, FCT - Fundacao para a Ciencia e a Tecnologia within project POCI-01-0145-FEDER-016718 and UID/CEC/04516/2013; and by FLAD/NSF under the project Software Repositories for Green Computing, ref. 300/2015. FCT grant SFRH/BD/112733/2015.
PY - 2017/6/30
Y1 - 2017/6/30
N2 - This paper briefly proposes a technique to detect energy inefficient fragments in the source code of a software system. Test cases are executed to obtain energy consumption measurements, and a statistical method, based on spectrum-basedfault localization, is introduced to relate energy consumption to the system's source code. The result of our technique is an energy ranking of source code fragments pointing developers to possible energy leaks in their code.
AB - This paper briefly proposes a technique to detect energy inefficient fragments in the source code of a software system. Test cases are executed to obtain energy consumption measurements, and a statistical method, based on spectrum-basedfault localization, is introduced to relate energy consumption to the system's source code. The result of our technique is an energy ranking of source code fragments pointing developers to possible energy leaks in their code.
KW - Fault Localization
KW - Green Computing
KW - Program Optimization
UR - http://www.scopus.com/inward/record.url?scp=85026734661&partnerID=8YFLogxK
U2 - 10.1109/ICSE-C.2017.80
DO - 10.1109/ICSE-C.2017.80
M3 - Conference contribution
SP - 238
EP - 240
BT - Proceedings - 2017 IEEE/ACM 39th International Conference on Software Engineering Companion, ICSE-C 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -