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Assurances for Self-Adaptive Systems: Principles, Models, by Maxime Cordy, Andreas Classen, Patrick Heymans, Axel Legay,

By Maxime Cordy, Andreas Classen, Patrick Heymans, Axel Legay, Pierre-Yves Schobbens (auth.), Javier Cámara, Rogério de Lemos, Carlo Ghezzi, Antónia Lopes (eds.)

The expanding complexity of structures and the starting to be uncertainty of their operational environments have created a severe have to increase platforms in a position to enhance their operation, adapt to alter, and get over mess ups autonomously. this example has resulted in contemporary advances in self-adaptive platforms capable of reconfigure their constitution and regulate their habit at run-time to conform to environmental alterations. regardless of those advances, one key element of self-adaptive platforms that continues to be to be tackled intensive is "assurances": the availability of proof that the process satisfies its said practical and non-functional specifications in the course of its operation within the presence of self-adaptation. This e-book is likely one of the results of the ESEC/FSE 2011 Workshop on Assurances for Self-Adaptive structures (ASAS), held in Szeged, Hungary, in September 2011. It comprises prolonged models of a few of the papers awarded in the course of the workshop, in addition to invited papers from famous specialists. The 12 refereed papers have been completely reviewed and chosen. The publication comprises 4 components: formal verification, types and middleware, failure prediction, and coverage techniques.

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Additional info for Assurances for Self-Adaptive Systems: Principles, Models, and Techniques

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For example, different failure states may be associated with the invocation of different external services. The set of failures to look for is strictly domain-dependent. In an absorbing DTMC with r absorbing states and t transient states, rows and columns of the transition matrix P can be reordered such that P is in the following canonical form: QR (1) 0 I where I is an r by r identity matrix, 0 is an r by t zero matrix, R is a nonzero t by r matrix and Q is a t by t matrix. 04 8 1 9 1 w File Server Fig.

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