SpinArt: A Spin-based Verifier for Artifact Systems

نویسندگان

  • Yuliang Li
  • Alin Deutsch
  • Victor Vianu
چکیده

Data-driven workflows, of which IBM’s Business Artifacts are a prime exponent, have been successfully deployed in practice, adopted in industrial standards, and have spawned a rich body of research in academia, focused primarily on static analysis. In previous work, theoretical results were obtained on the verification of a rich model incorporating core elements of IBM’s successful GuardStage-Milestone (GSM) artifact model. The results showed decidability of verification of temporal properties of a large class of GSM workflows and established its complexity. Following up on these results, the present paper reports on the implementation of SpinArt, a practical verifier based on the classical modelchecking tool Spin. The implementation includes nontrivial optimizations and achieves good performance on real-world business process examples. Our results shed light on the capabilities and limitations of off-the-shelf verifiers in the context of data-driven workflows.

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تاریخ انتشار 2017