Comparing textual descriptions to process models - The automatic detection of inconsistencies


Aa, Han van der ; Leopold, Henrik ; Reijers, Hajo A.



DOI: https://doi.org/10.1016/j.is.2016.07.010
URL: https://www.sciencedirect.com/science/article/pii/...
Additional URL: https://www.semanticscholar.org/paper/Comparing-te...
Document Type: Article
Year of publication: 2017
The title of a journal, publication series: Information Systems : IS
Volume: 64
Page range: 447-460
Place of publication: Amsterdam
Publishing house: Elsevier
ISSN: 0306-4379 , 0094-453X
Publication language: English
Institution: School of Business Informatics and Mathematics > Methoden der künstlichen Intelligenz (Juniorprofessur) (van der Aa 2020-)
Subject: 004 Computer science, internet
Abstract: Many organizations maintain textual process descriptions alongside graphical process models. The purpose is to make process information accessible to various stakeholders, including those who are not familiar with reading and interpreting the complex execution logic of process models. Despite this merit, there is a clear risk that model and text become misaligned when changes are not applied to both descriptions consistently. For organizations with hundreds of different processes, the effort required to identify and clear up such conflicts is considerable. To support organizations in keeping their process descriptions consistent, we present an approach to automatically identify inconsistencies between a process model and a corresponding textual description. Our approach detects cases where the two process representations describe activities in different orders and detect process model activities not contained in the textual description. A quantitative evaluation with 53 real-life model-text pairs demonstrates that our approach accurately identifies inconsistencies between model and text.

Dieser Datensatz wurde nicht während einer Tätigkeit an der Universität Mannheim veröffentlicht, dies ist eine Externe Publikation.




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