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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yoo Jin Lim Eunkyoung Jee Donghwan Shin Doo-Hwan Bae |
| Copyright Year | 2015 |
| Description | Author affiliation: Sch. of Comput., KAIST, Daejeon, South Korea (Eunkyoung Jee; Donghwan Shin; Doo-Hwan Bae) || Server Technol. Div., Oracle Korea, Seoul, South Korea (Yoo Jin Lim) |
| Abstract | Collective adaptive systems (CAS) consist of multiple agents that adapt to changing system and environmental conditions in order to satisfy system goals and quality requirements. As more applications involve using CAS in a critical context, ensuring the correct and safe adaptive behaviors of quality-driven CAS has become more important. In this paper, we propose Collective Adaptive System Testing (CAST), a scalable and efficient approach to testing self-adaptive behaviors of CAS. We propose a selective method to instantiate and execute test cases relevant to the current adaptation context. This enables testers to focus testing on key self-adaptive behaviors while dealing with the scale and dynamicity of the system. An experimental evaluation using a traffic monitoring system is performed to validate its scalability, efficiency, and fault-detection effectiveness. The experimental results provide insights into how CAST can serve as a feasible and effective assurance technique for CAS. |
| Starting Page | 216 |
| Ending Page | 221 |
| File Size | 448900 |
| Page Count | 6 |
| File Format | |
| ISSN | 07303157 |
| e-ISBN | 9781467365642 |
| DOI | 10.1109/COMPSAC.2015.131 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-07-01 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cameras Testing Adaptive systems Monitoring Organizations Context Scalability agent-based adaptive system software quality attributes system testing collective adaptive system |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Applications Software |
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