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Automatic Verification of Data-Centric Business Processes

  • Elio Damaggio
  • Alin Deutsch
  • Richard Hull
  • Victor Vianu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6896)

Abstract

Recent years have witnessed the evolution of business process specification frameworks from the traditional process-centric approach towards data-awareness. Process-centric formalisms focus on control flow while under-specifying the underlying data and its manipulations by the process tasks, often abstracting them away completely. In contrast, data-aware formalisms treat data as first-class citizens. A notable exponent of this class is the business artifact model pioneered in [46, 34], deployed by IBM in professional services offerings with associated tooling, and further studied in a line of follow-up works [4, 5, 26, 27, 6, 38, 33, 35, 42]. Business artifacts (or simply “artifacts”) model key business-relevant entities, which are updated by a set of services that implement business process tasks. A collection of artifacts and services is called an artifact system. This modeling approach has been successfully deployed in practice, yielding proven savings when performing business process transformations [5, 4, 15].

Keywords

Business Process Business Rule Shipment Type Artifact Model Arithmetic Constraint 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Elio Damaggio
    • 1
  • Alin Deutsch
    • 1
  • Richard Hull
    • 2
  • Victor Vianu
    • 1
  1. 1.University of CaliforniaSan DiegoUSA
  2. 2.IBM T.J. Watson Research CenterUSA

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