Modeling Web service composition using symbolic transition systems

Jyotishman Pathak, Samik Basu, Vasant Honavar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

Web services are software entities which provide a set of functionalities that can be accessed over the Web. In general, the valuations of variables appearing in various functions provided by the service are not known before execution. Consequently, to analyze the behavior of a service, all possible valuations need to be considered, making the whole system infinite-state. Against this background, we propose a framework for modeling and composing Web services where desired (goal) and pre-existing (component) services exhibit infinite-state behavior. Our approach finitely represents such services using Symbolic Transition Systems (STSs) which are transition systems augmented with guards over infinite-domain variables. We develop a sound and complete logical approach for identifying the existence of composition of available component-STSs, such that the resulting composition is "simulated" by the goal-STS. In the event that the goal service cannot be realized from the existing components, our technique can also identify the cause for the failure and guide the user to achieve appropriate refinement of the goal specification, thereby paving the way for incremental development of composite services.

Original languageEnglish (US)
Title of host publicationAI-Driven Technologies for Services-Oriented Computing - Papers from the AAAI Workshop, Technical Report
Pages44-51
Number of pages8
StatePublished - Dec 1 2006
Event2006 AAAI Workshop - Boston, MA, United States
Duration: Jul 20 2006Jul 20 2006

Publication series

NameAAAI Workshop - Technical Report
VolumeWS-06-01

Other

Other2006 AAAI Workshop
CountryUnited States
CityBoston, MA
Period7/20/067/20/06

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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    Pathak, J., Basu, S., & Honavar, V. (2006). Modeling Web service composition using symbolic transition systems. In AI-Driven Technologies for Services-Oriented Computing - Papers from the AAAI Workshop, Technical Report (pp. 44-51). (AAAI Workshop - Technical Report; Vol. WS-06-01).