Static analysis of Taverna workflows to predict provenance patterns

@article{Alper2017StaticAO,
  title={Static analysis of Taverna workflows to predict provenance patterns},
  author={Pinar Alper and Khalid Belhajjame and Carole A. Goble},
  journal={Future Generation Comp. Syst.},
  year={2017},
  volume={75},
  pages={310-329}
}
Abstract Workflows have found adoption in scientific domains particularly due to their automation and provenance features. Using workflows scientists can repeat analyses with different input parameters and later use provenance to access and compare results based on these respective parameters. A common assumption is that by designing an analysis as a workflow we get parameter-to-result traceability for free by using workflow provenance. This assumption holds for cases of coarse-grained… CONTINUE READING
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