Alignment Based Precision Checking

  • Arya Adriansyah
  • Jorge Munoz-Gama
  • Josep Carmona
  • Boudewijn F. van Dongen
  • Wil M. P. van der Aalst
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 132)

Abstract

Most organizations have process models describing how cases need to be handled. In fact, legislation and standardization (cf. the Sarbanes-Oxley Act, the Basel II Accord, and the ISO 9000 family of standards) are forcing organizations to document their processes. These processes are often not enforced by information systems. However, torrents of event data are recorded by today’s information systems. These recorded events reflect how processes are really executed. Often reality deviates from the modeled behavior. Therefore, measuring the extent process executions conform to a predefined process model is increasingly important. In this paper, we propose an approach to measure the precision of a process model with respect to an event log. Unlike earlier approaches, we first align model and log thus making our approach more robust, even in case of deviations. The approach has been implemented in the ProM 6 tool and evaluated using both artificial and real life cases.

Keywords

Precision measurement Log-model alignment Conformance checking Process mining 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Arya Adriansyah
    • 1
  • Jorge Munoz-Gama
    • 2
  • Josep Carmona
    • 2
  • Boudewijn F. van Dongen
    • 1
  • Wil M. P. van der Aalst
    • 1
  1. 1.Department of Mathematics and Computer ScienceEindhoven University of TechnologyEindhovenThe Netherlands
  2. 2.Universitat Politecnica de CatalunyaBarcelonaSpain

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