Evaluation of Resilience in Self-Adaptive Systems Using Probabilistic Model-Checking

Cámara, Javier and de Lemos, R. (2012) Evaluation of Resilience in Self-Adaptive Systems Using Probabilistic Model-Checking. In: 7th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2012), June 2012, Zurich, Switzerland. (The full text of this publication is not available from this repository)

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Official URL
http://dx.doi.org/10.1109/SEAMS.2012.6224391

Abstract

The provision of assurances for self-adaptive systems presents its challenges since uncertainties associated with its operating environment often hamper the provision of absolute guarantees that system properties can be satisfied. In this paper, we define an approach for the verification of self-adaptive systems that relies on stimulation and probabilistic model-checking to provide levels of confidence regarding service delivery. In particular, we focus on resilience properties that enable us to assess whether the system is able to maintain trustworthy service delivery in spite of changes in its environment. The feasibility of our proposed approach for the provision of assurances is evaluated in the context of the Znn.com case study.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: assurances , evaluation , probabilistic model checking , resilience , self-adaptation , stimulation
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76 Computer software
Divisions: Faculties > Science Technology and Medical Studies > School of Computing
Depositing User: Rogerio de Lemos
Date Deposited: 23 Oct 2012 23:26
Last Modified: 15 Mar 2013 12:07
Resource URI: http://kar.kent.ac.uk/id/eprint/31879 (The current URI for this page, for reference purposes)
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