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Algorithmic Computation of Strongest Postconditions of Services as Priced Timed Automata
Publication Type:
Report - MRTC
ISRN:
MDH-MRTC-263/2012-1-SE
Abstract
Service-Oriented Systems (SOS) have gained importance in different application
domains thanks to their ability to enable reusable functionality
provided via well-defined interfaces, and the increased opportunities to
compose existing units, called services, into various configurations.
Developing applications in such a setup, by reusing
existing services, brings some concerns regarding
the assurance of the expected Quality-of-Service (QoS), and correctness of the
employed services.
In this paper, we provide a formal mechanism of computing service guarantees, automatically.
We assume service models annotated with pre- and
postconditions, their semantics given as Priced Timed Automata (PTA),
and the forward analysis method for checking the service correctness
w.r.t. given requirements. Under these assumptions, we show how to
compute the strongest postcondition
of the corresponding automata algorithmically, with respect to
the specified precondition. The approach is illustrated on a
small example of a service modeled as Priced Timed Automaton (PTAn).
Bibtex
@techreport{Causevic2362,
author = {Aida Causevic and Cristina Seceleanu and Paul Pettersson},
title = {Algorithmic Computation of Strongest Postconditions of Services as Priced Timed Automata},
number = {ISSN 1404-3041 ISRN MDH-MRTC-263/2012-1-SE},
month = {April},
year = {2012},
url = {http://www.es.mdu.se/publications/2362-}
}