• DocumentCode
    179668
  • Title

    Compiling More Precise Petri Net Models for an Improved Verification of Service Implementations

  • Author

    Heinze, Thomas S. ; Amme, Wolfram ; Moser, Steffen

  • Author_Institution
    Friedrich Schiller Univ. of Jena, Jena, Germany
  • fYear
    2014
  • fDate
    17-19 Nov. 2014
  • Firstpage
    25
  • Lastpage
    32
  • Abstract
    Verification of distributed business processes typically relies on Petri-net-based process models, which allow for a natural modeling and analysis of aspects like parallelism and message exchange. Unfortunately, such a process model is seldom complete and precise today, mainly because the available techniques for its derivation neglect process data in favor of a feasible verification. In this paper, we present an approach for deriving more precise process models in terms of a transforming process-to-Petri-net compiler, which takes as input a business process and generates as output a Petri net model for the process which can subsequently be used for verification. However, in contrast to a conventional compiler, its objective is not to result in efficient runtime code but rather to produce a most-precise though still effectively verifiable Petri-net-based process model.
  • Keywords
    Petri nets; business data processing; formal verification; parallel processing; program compilers; distributed business process; message exchange; natural analysis; natural modeling; parallelism; process data; process-to-Petri-net compiler; service implementation verification; verifiable Petri-net-based process model; Analytical models; Business; Data models; Games; Process control; Rocks; Runtime; Petri net; control flow unfolding; distributed business process; verification; workflow graph;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service-Oriented Computing and Applications (SOCA), 2014 IEEE 7th International Conference on
  • Conference_Location
    Matsue
  • Type

    conf

  • DOI
    10.1109/SOCA.2014.8
  • Filename
    6978167