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Complexity metrics for measuring the understandability and maintainability of Business Process Models using Goal-Question-Metric (GQM)


Citation

Abd Ghani, Abdul Azim and Koh, Tieng Wei and Muketha, Geoffrey Muchiri and Wong, Pei Wen (2008) Complexity metrics for measuring the understandability and maintainability of Business Process Models using Goal-Question-Metric (GQM). International Journal of Computer Science and Network Security, 8 (5). pp. 219-225. ISSN 1738-7906

Abstract / Synopsis

Business Process Models (BPMs), often modeling language such as UML activity between the created using stakeholders in the can provide us a diagrams, Event- Driven Process Chains Markup Language (EPML) and Yet Another Workflow Language (YAWL), serve as a base for communication that adequate software development process. In order to fulfill this purpose, they should be easy to understand and easy to maintain. For this reason, it is useful to have measures information about understandability and maintainability of the BPM. Although there are hundreds of software complexity measures that have been described and published by many researchers over the last few decades, measuring the complexity of business process models is a rather new area of research with only a small number of contributions. In this paper, we provide a comprehensive report on how existing complexity metrics of software were adapted in order to analyze the current business process models complexity. We also proposed a Goal- Question-Metric (GQM) framework for measuring the understandability and maintainability of BPMs.


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Additional Metadata

Item Type: Article
Subject: Business - Computer programs
Subject: Software measurement
Divisions: Faculty of Computer Science and Information Technology
Keywords: Complexity Metrics, Business Process Modeling and Analysis, Goal-Question-Metric
Depositing User: Mohamad Jefri Mohamed Fauzi
Date Deposited: 16 Aug 2012 08:45
Last Modified: 02 Dec 2015 06:43
URI: http://psasir.upm.edu.my/id/eprint/13726
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