Metrics for evaluation of workflow models: An experiment for validation
Issue title: Special Supplement Issue in Section A and B: Selected Papers from the ISCA International Conference on Software Engineering and Data Engineering, 2011
Affiliations: [a] Department of Computer Science, Winona State University, Winona, MN, USA | [b] Department of Mathematics and Computer Science, University of Texas of the Permian Basin, Odessa, TX, USA | [c] Departamento de Informática, Facultad de Ciencias Físico-Matemáticas y Naturales, Universidad Nacional de San Luis, San Luis, Argentina | Department of Computer Science, Winona State University, Winona, MN, USA
Correspondence:
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Corresponding author: Narayan Debnath, Department of Computer Science Winona State University, Winona, 55987 MN, USA. E-mail: [email protected].
Abstract: Due to the dynamism of business, it is very important to support continuous improvement and automation of business processes. The Workflow Management Systems (WMS) is one of the most significant technologies for such automation. Likewise, the quality of business process models is essential to facilitate understandability and adaptability of models to the constant changes experienced by the processes they represent. Therefore, it is fundamental to have tools to choose from several modeling alternatives, the most appropriate to the business needs. It is also essential to have tools to measure the quality of these models. Therefore, we propose a set of metrics for measuring the quality of workflow models based on their adaptability and understandability. In addition, we introduce the results of the first practical validation of the metrics through a comparative experiment of two Workflow modeling languages: YAWL Vs UML Activity Diagrams 2.0.
Keywords: Workflow, business process, modeling language, workflow patterns, metrics
