Quantitative analysis of services

  • Authors:
  • Igor Cappello;Allan Clark;Stephen Gilmore;Diego Latella;Michele Loreti;Paola Quaglia;Stefano Schivo

  • Affiliations:
  • Dipartimento di Ingegneria e Scienza dell'Informazione, Università di Trento;School of Informatics, The University of Edinburgh;School of Informatics, The University of Edinburgh;Istituto di Scienza e Tecnologie dell'Informazione "A. Faedo", CNR;Dipartimento di Sistemi e Informatica, Università di Firenze;Dipartimento di Ingegneria e Scienza dell'Informazione, Università di Trento;Dipartimento di Ingegneria e Scienza dell'Informazione, Università di Trento

  • Venue:
  • Rigorous software engineering for service-oriented systems
  • Year:
  • 2011

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Abstract

We show a number of applications of the tools which have been developed within the SENSORIA project to perform quantitative analysis of services. These tools are formally grounded on source calculi which allow the description of services at distinct levels of abstraction, and hence pose distinct challenges to both modelling and analysis. The reported applications refer to (suitable subcomponents of) the Finance Case-Study, and show instances of, respectively, exact model checking of Mar-CaSPiS against the both state-aware and action-aware logic SoSL, exact and statistical model checking of sCOWS against the state-aware logic CSL, querying of PEPA models by terms of the XSP language that expresses both state-aware and action-aware stochastic probes.