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Type of Document Dissertation Author Cheng, Zhengang , Author's Email Address zcheng@eos.ncsu.edu URN etd-08092006-005135 Title Verifying Commitment Based Business Protocols and their Compositions: Model Checking using Promela and Spin Degree PhD Graduate Program Computer Science Advisory Committee
Advisor Name Title Mladen A. Vouk Committee Co-Chair Munindar P. Singh Committee Co-Chair Laurie Williams Committee Member Peter R. Wurman Committee Member Keywords
- verification
- model checking
- SPIN
- OWL
- protocol composition
- service composition
- web services
Date of Defense 2006-08-10 Availability unrestricted Abstract A protocol-oriented approach of modeling and enactingbusiness processes and workflows has been developed recently that offers
advantages in terms of supporting the autonomy and heterogeneity of
business partners and the reconfigurability of their process.
Importantly, protocols are described using commitments, map to the
individual computation of the participating roles, and can be composed
to yield more complex protocols. However, verifying that the protocols,
especially composed protocols, fully satisfy appropriate correctness
properties remains an open problem.
This dissertation presents a novel way to model business protocols in
terms of commitments involved and the constraints for protocol
composition. The correct composition of a business process can be expressed via
individual protocol definitions and their composition constraints,
thereby enabling the verification of large processes.
Importantly, as part of the verification process,
protocols are translated into the language Promela, which makes them
amenable to analysis and verification using the model checker Spin. As a
result many important properties of business protocols and their
compositions into partial and full workflows can be verified, and
improved protocols can be produced.
The contribution of this dissertation is in providing a generalized mechanism for modeling
commitments, formulating and verifying properties related to
commitments. In fact, the results are applicable to a wide range of
processes and related protocols, such as scientific discovery processes
and workflows.
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