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Thresholds for Error Probability Measures of Business Process Models

Mendling, Jan and Sanchez-Gonzalez, Laura and Garcia, Felix and La Rosa, Marcello (2012) Thresholds for Error Probability Measures of Business Process Models. Journal of Systems and Software, 85 (5). pp. 1188-1197. ISSN 0164-1212

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Abstract

The quality of conceptual business process models is highly relevant for the design of corresponding information systems. In particular, a precise measurement of model characteristics can be beneficial from a business perspective, helping to save costs thanks to early error detection. This is just as true from a software engineering point of view. In this latter case, models facilitate stakeholder communication and software system design. Research has investigated several proposals as regards measures for business process models, from a rather correlational perspective. This is helpful for understanding, for example size and complexity as general driving forces of error probability. Yet, design decisions usually have to build on thresholds, which can reliably indicate that a certain counter-action has to be taken. This cannot be achieved only by providing measures; it requires a systematic identification of effective and meaningful thresholds. In this paper, we derive thresholds for a set of structural measures for predicting errors in conceptual process models. To this end, we use a collection of 2,000 business process models from practice as a means of determining thresholds, applying an adaptation of the ROC curves method. Furthermore, an extensive validation of the derived thresholds was conducted by using 429 EPC models from an Australian financial institution. Finally, significant thresholds were adapted to refine existing modeling guidelines in a quantitative way. (author's abstract)

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. The definitive version is available at www.elsevier.com.
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft
Version of the Document: Submitted
Variance from Published Version: Minor
Depositing User: Dissertation Administrator
Date Deposited: 02 Apr 2012 15:58
Last Modified: 18 Apr 2012 10:21
Related URLs:
URI: http://epub.wu.ac.at/id/eprint/3498

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