Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering, ICSE 2015 |
| Publisher | ACM, IEEE Computer Society |
| Pages | 941-942 |
| Number of pages | 2 |
| Volume | 2 |
| ISBN (Electronic) | 9781479919345 |
| DOIs | |
| Publication status | Published - 12 Aug 2015 |
| Event | 37th IEEE/ACM International Conference on Software Engineering (ICSE 2015) - Florence, Italy Duration: 16 May 2015 → 24 May 2015 |
Conference
| Conference | 37th IEEE/ACM International Conference on Software Engineering (ICSE 2015) |
|---|---|
| Country | Italy |
| City | Florence |
| Period | 16/05/15 → 24/05/15 |
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Keywords
- Empirical Methods
- Energy Efficiency
- Software Engineering
Cite this
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The Green Lab : Experimentation in Software Energy Efficiency. / Procaccianti, Giuseppe; Lago, Patricia; Vetrò, Antonio; Méndez Fernández, Daniel; Wieringa, Roel.
Proceedings - 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering, ICSE 2015. Vol. 2 ACM, IEEE Computer Society, 2015. p. 941-942 7203119.Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - The Green Lab
T2 - Experimentation in Software Energy Efficiency
AU - Procaccianti, Giuseppe
AU - Lago, Patricia
AU - Vetrò, Antonio
AU - Méndez Fernández, Daniel
AU - Wieringa, Roel
PY - 2015/8/12
Y1 - 2015/8/12
N2 - Software energy efficiency is a research topic where experimentation is widely adopted. Nevertheless, current studies and research approaches struggle to find generalizable findings that can be used to build a consistent knowledge base for energy-efficient software. To this end, we will discuss how to combine the traditional hypothesis-driven (top-down) approach with a bottom-up discovery approach. In this technical briefing, participants will learn the challenges that characterize the research in software energy efficiency. They will experience the complexity in this field and its implications for experimentation.
AB - Software energy efficiency is a research topic where experimentation is widely adopted. Nevertheless, current studies and research approaches struggle to find generalizable findings that can be used to build a consistent knowledge base for energy-efficient software. To this end, we will discuss how to combine the traditional hypothesis-driven (top-down) approach with a bottom-up discovery approach. In this technical briefing, participants will learn the challenges that characterize the research in software energy efficiency. They will experience the complexity in this field and its implications for experimentation.
KW - Empirical Methods
KW - Energy Efficiency
KW - Software Engineering
UR - http://www.scopus.com/inward/record.url?scp=84951857897&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84951857897&partnerID=8YFLogxK
U2 - 10.1109/ICSE.2015.297
DO - 10.1109/ICSE.2015.297
M3 - Conference contribution
VL - 2
SP - 941
EP - 942
BT - Proceedings - 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering, ICSE 2015
PB - ACM, IEEE Computer Society
ER -