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 serious have to advance platforms capable of increase their operation, adapt to alter, and get over mess ups autonomously. this case has ended in fresh advances in self-adaptive platforms capable of reconfigure their constitution and adjust 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 extensive is "assurances": the supply of facts that the process satisfies its said sensible and non-functional necessities 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 structures (ASAS), held in Szeged, Hungary, in September 2011. It includes prolonged models of a few of the papers awarded throughout the workshop, in addition to invited papers from famous specialists. The 12 refereed papers have been completely reviewed and chosen. The booklet involves 4 components: formal verification, types and middleware, failure prediction, and coverage techniques.
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Extra resources for Assurances for Self-Adaptive Systems: Principles, Models, and Techniques
Without going into much detail or providing formal proofs, we compare our work with theirs and identify the commonalities and diﬀerences between the two. ATL is a logic able to express temporal properties on multi-agent systems and concurrent game structures. It provides a special quantiﬁer << A >> where A is a set of agents or players working together to meet speciﬁc goals. The semantics of this operator makes use of a deﬁnition of strategy as well : << A >> ϕ is satisﬁed if and only if the players in A can ﬁnd a strategy such that any execution following this strategy satisﬁes ϕ.
A-FTS are just a fundamental model, that is used by the tools but leads to lengthy descriptions, diﬃcult to manage by humans. It is therefore important to provide more manageable high-level languages, that can be compiled (on-the-ﬂy) to A-FTS. These languages need to cover diﬀerent levels of abstraction: the most abstract levels Model Checking Adaptive Software 25 allowing a rapid analysis, while the most detailed can be directly used to generate executable code. This raise the question of reﬁnement : can we guarantee that the analysis performed at the abstract level remains valid at the more concrete level?
AdaCTL is thus diﬀerent from fCTL in both syntax and semantics, in the same way as the classical logics ATL and CTL are diﬀerent. A comparison between AdaCTL and ATL is given further in this section. 2 23 Veriﬁcation of Adaptive Systems The veriﬁcation of adaptive systems is a topic that received a lot of attention from the scientiﬁc community. The work related to that context being particularly large, we focus here on the most recent results. In their research roadmap for adaptive systems , Cheng et al.
Assurances for Self-Adaptive Systems: Principles, Models, and Techniques by Maxime Cordy, Andreas Classen, Patrick Heymans, Axel Legay, Pierre-Yves Schobbens (auth.), Javier Cámara, Rogério de Lemos, Carlo Ghezzi, Antónia Lopes (eds.)