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Title: An Empirical Study of Error Patterns in Industrial Business Process Models
Contributor(s): Roy, Suman (author); Sajeev, Abudulkadir  (author); Bihary, Sidharth (author); Ranjan, Abhishek (author)
Publication Date: 2014
DOI: 10.1109/TSC.2013.10
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Abstract: Business processes play an important role in organizations; however, not enough attention is given to analyzing and modeling errors in them. In this paper, we study syntactic and control flow error frequencies in business processes from real industry projects. Our samples come from a number of application domains such as Banking and Capital Markets, Insurance and Healthcare, and Retail. We consider industrial business processes modeled in Business Process Modeling Notation (BPMN) and use graph-theoretic techniques and Petri net-based analyses to detect syntactic and control flow-related errors, respectively. We then use a set of metrics that capture different network characteristics of the models and study the empirical relations between the metrics and process errors. The major results of the empirical investigation are: 1) multiple edges to or from tasks as well as hanging nodes are the predominant forms of syntactic errors, 2) syntactic errors occur frequently in Retail & Logistics domain and significantly less in the Insurance and Healthcare domain, and 3) the probability of error occurrence can be modeled as a function of node size and coefficient of connectivity through a logistic regression model which correctly classified 97.6 percent of the cases.
Publication Type: Journal Article
Source of Publication: IEEE Transactions on Services Computing, 7(2), p. 140-153
Publisher: IEEE: Institute of Electrical and Electronics Engineers
Place of Publication: Los Alamitos, United States of America
ISSN: 1939-1374
Field of Research (FOR): 080309 Software Engineering
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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