Abstract
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.
| 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/Territory | Italy |
| City | Florence |
| Period | 16/05/15 → 24/05/15 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Empirical Methods
- Energy Efficiency
- Software Engineering
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