Design-time analysis of data inaccuracy awareness at runtime

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Analyzing potential data inaccuracy is an important aspect of business process design that has been mostly overlooked so far. To this end, process models should express the relevant information to support such analysis. In this paper we propose a formal framework for design-time analysis of potential data inaccuracy situations. In particular, we define a property of Data Inaccuracy Awareness which indicates the ability to know at runtime whether data values are accurate representations of real values. We propose an algorithm for analyzing this property at design time based on a process model. A preliminary evaluation of the applicability and scalability of the algorithm using a benchmark collection of process models is reported.

Original languageEnglish
Title of host publicationBusiness Process Management Workshops - BPM 2017 International Workshops, Revised Papers
EditorsErnest Teniente, Matthias Weidlich
PublisherSpringer Verlag
Number of pages13
ISBN (Print)9783319740294
StatePublished - 2018
Event15th International Conference on Business Process Management, BPM 2017 - Barcelona, Spain
Duration: 10 Sep 201715 Sep 2017

Publication series

NameLecture Notes in Business Information Processing
ISSN (Print)1865-1348


Conference15th International Conference on Business Process Management, BPM 2017

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2018.


  • Business process management
  • Business process modeling
  • Data inaccuracy

ASJC Scopus subject areas

  • Management Information Systems
  • Control and Systems Engineering
  • Business and International Management
  • Information Systems
  • Modeling and Simulation
  • Information Systems and Management


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