Process measurement is the task of empirically and objectively assigning numbers to the properties of business processes in such a way as to describe them. Desirable attributes to study and measure include complexity, cost, maintainability, and reliability. In our work we will focus on investigating process complexity. We define process complexity as the degree to which a business process is difficult to analyze, understand or explain. One way to analyze a process- complexity is to use a process control-flow complexity measure. In this paper, an attempt has been made to evaluate the control-flow complexity measure in terms of Weyuker-s properties. Weyuker-s properties must be satisfied by any complexity measure to qualify as a good and comprehensive one.<\/p>\r\n","references":"[1] Cardoso, J., Evaluating Workflows and Web Process Complexity, in\r\nWorkflow Handbook 2005, L. Fischer, Editor. 2005, Future Strategies\r\nInc.: Lighthouse Point, FL, USA. p. 284-290.\r\n[2] Weyuker, E.J., Evaluating software complexity measures. IEEE\r\nTransactions on Software Eng., 1988. 14(9): p. 1357-1365.\r\n[3] Cardoso, J. About the Data-Flow Complexity of Web Processes. in 6th\r\nInternational Workshop on Business Process Modeling, Development,\r\nand Support: Business Processes and Support Systems: Design for\r\nFlexibility. 2005. Porto, Portugal.\r\n[4] McCabe, T., A Complexity Measure. IEEE Transactions of Software\r\nEngineering, 1976. SE-2(4): p. 308-320.\r\n[5] Kitchenham, B., S.L. Pfleeger, and N. Fenton, Toward a Framework for\r\nMeasurement Validation. IEEE Transactions of Software Engineering,,\r\n1996. 21(12): p. 929-944.\r\n[6] Fenton, N., Software Measurement: A Necessary Scientific Basis. IEEE\r\nTransactions on Software Engineering, 1994. 20(3).\r\n[7] Morasca, S., et al., Comments on \"Towards a Framework for Software\r\nMeasurement Validation\". IEEE Transactions on Software Engineering,\r\n1997. 23(3): p. 187-188.\r\n[8] Zuse, H., A Framework of Software Measurement. 1997, Berlin: Walter\r\nde Gruyter Inc.\r\n[9] Aalst, W.M.P.v.d., The Application of Petri Nets to Workflow\r\nManagement. The Journal of Circuits, Systems and Computers, 1998.\r\n8(1): p. 21-66.\r\n[10] Halstead, M.H., Elements of Software Science, Operating, and\r\nProgramming Systems Series. Vol. 7. 1977, New York, NY: Elsevier.\r\n[11] Boehm, B., Software Engineering Economics. 1981: Prentice Hall.\r\n[12] Misra, S. and A.K. Misra. Evaluating Cognitive Complexity Measure\r\nwith Weyuker Properties. in Third IEEE International Conference on\r\nCognitive Informatics (ICCI'04). 2004. Victoria, Canada.\r\n[13] Lakshmanan, K.B., S. Jayaprakash, and P.K. Sinha, Properties of\r\nControl-Flow Complexity Measures. IEEE Transactions on Software\r\nEngineering archive, 1991. 17(12): p. 1289 - 1295.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 8, 2007"}