  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, we obtained theoretical results
on the verification of a rich model incorporating core elements of IBM's
successful Guard-Stage-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 model-checking 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.
