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

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 platforms and the starting to be uncertainty of their operational environments have created a severe have to strengthen platforms in a position to enhance their operation, adapt to alter, and get over disasters autonomously. this example has ended in fresh advances in self-adaptive platforms in a position to reconfigure their constitution and regulate their habit at run-time to conform to environmental adjustments. regardless of those advances, one key element of self-adaptive structures that is still to be tackled intensive is "assurances": the supply of proof that the approach satisfies its said useful and non-functional requisites in the course of its operation within the presence of self-adaptation. This booklet is likely one of the results of the ESEC/FSE 2011 Workshop on Assurances for Self-Adaptive platforms (ASAS), held in Szeged, Hungary, in September 2011. It includes prolonged types of a few of the papers offered through the workshop, in addition to invited papers from famous specialists. The 12 refereed papers have been completely reviewed and chosen. The booklet comprises 4 components: formal verification, types and middleware, failure prediction, and coverage techniques.

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Of the D-MRM and for a given pattern: 40 A. Filieri and G. Tamburrelli XI =k (ω) = ρ(sk ) 0 XC ≤k (ω) = XF Φ (ω) = ⎧ 0 ⎪ ⎪ ⎨∞ ⎪ ⎪ ⎩ k−1 i=0 (2) if k = 0 ρ(si ) + ι(si , si+1 ) otherwise min{j|sj |=Φ}−1 i=0 if s0 |= Φ if ∀i si Φ (3) (4) ρ(si ) + ι(si , si+1 ) otherwise In Section 3 we will show how the value of XΘ can be computed with algebraic techniques taking into account the presence of both numeric values and variable parameters in the D-MRM model. Exploiting rewards we are able to express more complex requirements which may consider for example costs or latencies.

At runtime all that is needed to obtain the actual analysis response is to replace the symbolic variables with the actual values provided from modeling, as soon as they are discovered. The evaluation of a mathematical expression, is in general a much simpler task than model-checking, and can be performed in a very short time even on low power devices, as we shown in [12]. The main focus of this section is on parametric probabilistic verification of PCTL properties over DTMCs. 1 we will introduce the algorithm of Daws and the subsequent improvements and implementations.

IFM 2010. LNCS, vol. 6396, pp. 43–58. Springer, Heidelberg (2010) 7. : Formal description of variability in product families. In: Proceedings of SPLC 2011, pp. 130–139. Springer (2011) Model Checking Adaptive Software 27 8. : A Meta-model for Representing Variability in Product Family Development. J. ) PFE 2003. LNCS, vol. 3014, pp. 66–80. Springer, Heidelberg (2004) 9. : A game-theoretic approach to fault diagnosis and identification of hybrid systems. Theoretical Computer Science (to appear, 2012) 10.

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