Quality of Software Architectures. Models and Architectures: by Danilo Ardagna, Carlo Ghezzi, Raffaela Mirandola (auth.),

By Danilo Ardagna, Carlo Ghezzi, Raffaela Mirandola (auth.), Steffen Becker, Frantisek Plasil, Ralf Reussner (eds.)

This booklet constitutes the completely refereed post-proceedings of the Fourth foreign convention at the caliber of software program Architectures, QoSA 2008, held in Medford, MA, united states, in July 2007, along side the tenth foreign ACM SIGSOFT Symposium on Component-Based software program Engineering, CBSE 2007, and the ROSATEA 2007 occasion, investigating the position of software program structure for trying out and research, forming the federated occasions on Component-Based software program Engineering and software program structure, CompArch 2007.

The thirteen revised complete papers provided including 1 keynote lecture have been conscientiously reviewed and chosen from forty two submissions. The papers are prepared in topical sections on architectural layout and architectural judgements, tracing architectural judgements, structure overview, structure evolution, architecting procedure and architectural knowledge.

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Extra info for Quality of Software Architectures. Models and Architectures: 4th International Conference on the Quality of Software-Architectures, QoSA 2008, Karlsruhe, Germany, October 14-17, 2008. Proceedings

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LNCS, vol. 5281, pp. 119–134. Springer, Heidelberg (2008) 30. : A unified tool for performance modelling and prediction. Reliability Engineering and System Safety 89, 17–32 (2005) 31. : Closed queueing networks with exponential servers. Operat. Res 15, 252–267 (1967) 32. : Architecture-based reliability prediction for service-oriented computing. , Romanovsky, A. ) Architecting Dependable Systems III. LNCS, vol. 3549, pp. 279–299. Springer, Heidelberg (2005) 33. : Uml modelling and performance analysis of mobile software architectures.

G. : UML Profile for Modeling and Analysis of Real-Time and Embedded Systems. ptc/07-08-04 (2007) 62. : Probability, Random Variables, and Stochastic Processes, 4th edn. McGraw-Hill, New York (2002) 63. : Software engineering and performance: a road-map. In: ICSE - Future of SE Track, pp. 189–199 (2000) 64. : Markov Decision Processes. Wiley, Chichester (1994) 65. : An LPV approximation for admission control of an internet web server: identification and control. Control Engineering Practice 15(12), 1457–1467 (2007) 66.

Ghezzi, and R. Mirandola possible to derive a “physical” interpretation of the state variables and the goal of the identification process is to determine a system specification which can accurately model a set of input-output observations, without any a priory system knowledge. Identification procedures can be either performed off-line or on-line. In the former approach, ad-hoc performance tests injecting varying workload and working conditions on the software system are needed before the production deployment [74].

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