Software Engineering for Self-Adaptive Systems: A Research Roadmap
Software Engineering for Self-Adaptive Systems
UML'00 Proceedings of the 3rd international conference on The unified modeling language: advancing the standard
Analysis of UML activities using dynamic meta modeling
FMOODS'07 Proceedings of the 9th IFIP WG 6.1 international conference on Formal methods for open object-based distributed systems
Adapt cases: extending use cases for adaptive systems
Proceedings of the 6th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
Model-driven performance engineering of self-adaptive systems: a survey
Proceedings of the 8th international ACM SIGSOFT conference on Quality of Software Architectures
Performance analysis of self-adaptive systems for requirements validation at design-time
Proceedings of the 9th international ACM Sigsoft conference on Quality of software architectures
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The emerging approach to tackle the increasing complexity of today's software systems is the use of self-adaptation techniques. Modeling and implementing adaptivity features is a burdensome and error-prone task that potentially results in erroneous system models. As a consequence, quality analysis and assurance must be considered early in the development of self-adaptive systems. We propose a quality assurance approach for self-adaptive systems in terms of an integrated modeling and analysis approach, which helps identifying errors in modeled self-adaptive systems early in the design process. We employ a modeling language for self-adaptive systems including adaptation rules and formally define their semantics. Given the language and its formal semantics, we formulate quality properties, such as fairness of the specified adaptation rule system. These quality properties are verified using a model checking approach.