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| Content Provider | ACM Digital Library |
|---|---|
| Author | Casallas, Rubby Villegas, Norha M. Duchien, Laurence Müller, Hausi A. Tamura, Gabriel |
| Abstract | Over the past decade the dynamic capabilities of self-adaptive software-intensive systems have proliferated and improved significantly. To advance the field of self-adaptive and self-managing systems further and to leverage the benefits of self-adaptation, we need to develop methods and tools to assess and possibly certify adaptation properties of self-adaptive systems, not only at design time but also, and especially, at run-time. In this paper we propose a framework for evaluating quality-driven self-adaptive software systems. Our framework is based on a survey of self-adaptive system papers and a set of adaptation properties derived from control theory properties. We also establish a mapping between these properties and software quality attributes. Thus, corresponding software quality metrics can then be used to assess adaptation properties. |
| Starting Page | 80 |
| Ending Page | 89 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450305754 |
| DOI | 10.1145/1988008.1988020 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2011-05-23 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Run-time validation and verification Assessment and evaluation of self-adaptive systems Software quality attributes Engineering of self-adaptive systems Software adaptation metrics Application of control theory Software adaptation properties |
| Content Type | Text |
| Resource Type | Article |
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