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.
|Title of host publication||Business Process Management Workshops - BPM 2017 International Workshops, Revised Papers|
|Editors||Ernest Teniente, Matthias Weidlich|
|Number of pages||13|
|State||Published - 2018|
|Event||15th International Conference on Business Process Management, BPM 2017 - Barcelona, Spain|
Duration: 10 Sep 2017 → 15 Sep 2017
|Name||Lecture Notes in Business Information Processing|
|Conference||15th International Conference on Business Process Management, BPM 2017|
|Period||10/09/17 → 15/09/17|
Bibliographical noteFunding Information:
The first and second authors were supported by the Israel Science Foundation under grant agreement no. 856/13.
© 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