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Erschienen in:
2017 | OriginalPaper | Buchkapitel
Variety of Approaches in Self-adaptation Requirements: A Case Study
verfasst von : Aradea, Iping Supriana, Kridanto Surendro, Irfan Darmawan
Erschienen in: Recent Advances on Soft Computing and Data Mining
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Abstract
Self-adaptation requirements are requirements engineering studies to develop self-adaptive systems. This approach provides a way how activity at design-time requirements to meet stakeholder needs and system-to-be. Currently, there is a variety of approaches were proposed to the researchers through the development of goal-oriented requirements engineering. The ideas expressed through the expansion of this model into a way that is quite promising, however the various approaches proposed, does not mean no shortage. This paper describes in detail the variety of approaches available today through the implementation of a case study, and analysis of the results, we found 5 main features that can be used as consideration in formulating self-adaptation requirements, namely goal concept, environment model, behavior analysis, run-time dependencies, and adaptation strategy. Besides that, we saw of future research chance through deep study at goal-based modeling and loop feedback with utilizing data mining technique.