Self-adaptation is emerging as an increasingly important capability for many applications， particularly those deployed in dynamically changing environments， such as ecosystem monitoring and disaster management。 One key challenge posed by Self-Adaptive Systems (SAS) is the need to handle changes to the requirements and corresponding behavior of a SAS in response to varying environmental condition during runtime。 In this paper， we discuss the role of uncertainty in such systems， research challenges and present results from our experiences when tackling those challenges。 We also review different modeling techniques for the development of self-adaptive systems with specific emphasis on goal-based techniques。
Requirementsreflectionrun-timeself-adaptive system
Nelly Bencomo
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INRIA Paris - Rocquencourt Domaine de Voluceau, B.P. 105 78153 Le Chesnay, France
International summer school on generative and transformational techniques in software engineering
Braga(PT)
Generative and transformational techniques in software engineering IV
NETL
