A Provenance Framework for Data-Dependent Process Analysis

@article{Deutch2014APF,
  title={A Provenance Framework for Data-Dependent Process Analysis},
  author={Daniel Deutch and Yuval Moskovitch and Val Tannen},
  journal={PVLDB},
  year={2014},
  volume={7},
  pages={457-468}
}
A data-dependent process (DDP) models an application whose control flow is guided by a finite state machine, as well as by the state of an underlying database. DDPs are commonly found e.g., in e-commerce. In this paper we develop a framework supporting the use of provenance in static (temporal) analysis of possible DDP executions. Using provenance support, analysts can interactively test and explore the effect of hypothetical modifications to a DDP’s state machine and/or to the underlying… CONTINUE READING

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