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An Approach to Adaptive Dependability Assessment in Dynamic and Evolving Connected Systems

An Approach to Adaptive Dependability Assessment in Dynamic and Evolving Connected Systems

Felicita Di Giandomenico, Antonia Bertolino, Antonello Calabrò, Nicola Nostro
Copyright: © 2013 |Volume: 4 |Issue: 1 |Pages: 25
ISSN: 1947-9220|EISSN: 1947-9239|EISBN13: 9781466631557|DOI: 10.4018/jaras.2013010101
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MLA

Di Giandomenico, Felicita, et al. "An Approach to Adaptive Dependability Assessment in Dynamic and Evolving Connected Systems." IJARAS vol.4, no.1 2013: pp.1-25. http://doi.org/10.4018/jaras.2013010101

APA

Di Giandomenico, F., Bertolino, A., Calabrò, A., & Nostro, N. (2013). An Approach to Adaptive Dependability Assessment in Dynamic and Evolving Connected Systems. International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS), 4(1), 1-25. http://doi.org/10.4018/jaras.2013010101

Chicago

Di Giandomenico, Felicita, et al. "An Approach to Adaptive Dependability Assessment in Dynamic and Evolving Connected Systems," International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS) 4, no.1: 1-25. http://doi.org/10.4018/jaras.2013010101

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Abstract

Complexity, heterogeneity, interdependency and, especially, evolution of system/services specifications, related operating environments and user needs, are more and more highly relevant characteristics of modern and future software applications. Taking advantage of the experience gained in the context of the European project Connect, which addresses the challenging and ambitious topic of eternally functioning distributed and heterogeneous systems, this paper presents a framework to analyse and assess dependability and performance properties in dynamic and evolving contexts. The goal is to develop an adaptive approach by coupling stochastic model-based analysis, performed at design time to support the definition and implementation of software products complying with their stated dependability and performance requirements, with run-time monitoring to re-calibrate and enhance the dependability and performance prediction along evolution. The proposed framework for adaptive assessment is described and illustrated through a case study. To simplify the description while making more concrete the approach under study, the authors adopted the setting and terminology of the Connect project.

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