Simplifying Process Model Abstraction: Techniques for Generating Model Names

Leopold, Henrik and Mendling, Jan and Reijers, Hajo A. and La Rosa, Marcello (2014) Simplifying Process Model Abstraction: Techniques for Generating Model Names. Information Systems, 39. pp. 134-151. ISSN 0306-4379


Download (653kB)


The increased adoption of business process management approaches, tools, and practices has led organizations to accumulate large collections of business process models. These collections can easily include from a hundred to a thousand models, especially in the context of multinational corporations or as a result of organizational mergers and acquisitions. A concrete problem is thus how to maintain these large repositories in such a way that their complexity does not hamper their practical usefulness as a means to describe and communicate business operations. This paper proposes a technique to automatically infer suitable names for business process models and fragments thereof. This technique is useful for model abstraction scenarios, as for instance when user-specific views of a repository are required, or as part of a refactoring initiative aimed to simplify the repository's complexity. The technique is grounded in an adaptation of the theory of meaning to the realm of business process models. We implemented the technique in a prototype tool and conducted an extensive evaluation using three process model collections from practice and a case study involving process modelers with different experience.

Item Type: Article
Additional Information: To see the final version of this paper please visit the publisher's website. Access to the published version may require a subscription.
Keywords: Business process model / model name / process model repository / refactoring / model abstraction
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft
Version of the Document: Draft
Variance from Published Version: Minor
Depositing User: ePub Administrator
Date Deposited: 05 Dec 2013 09:31
Last Modified: 14 Sep 2018 15:52
Related URLs:


View Item View Item


Downloads per month over past year

View more statistics