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Articles by G.M. Muketha
Total Records ( 2 ) for G.M. Muketha
  G.M. Muketha , A.A.A. Ghani , M.H. Selamat and R. Atan
  Business processes have an inherent complexity which if not controlled can keep on increasing with time, thus making the processes error-prone, difficult to understand and maintain. In the last few years, several researchers have proposed a number of metrics which can be used to measure and therefore control the complexity of business processes. In this study, a survey of business process complexity metrics is conducted with the goal of investigating if there are any gaps in literature. Initially, a description of the process of metrics definition and validation is presented, followed by an analysis of business process complexity metrics that have appeared in literature in the last 5 years. The reviewers checked whether the identified metrics have any tool support, whether they have been validated and whether validation results are significant or not. Findings show that few business process complexity metrics have been proposed so far and that even fewer have been validated. In order to address these issues, some future research directions are proposed.
  G.M. Muketha , A.A.A. Ghani , M.H. Selamat and R. Atan
  In this study, seven metrics are proposed for measuring the complexity of Executable Business Processes (EBP). The metrics are either derived from existing business process metrics or adapted from software metrics. Evaluation was carried out in three case studies with the goal of finding out if the metrics are theoretically sound and at the same time intuitional. In case 1, metrics values were computed from three processes and then analyzed to check whether they agree with reality. In case 2, the metrics were grouped into two categories of length and complexity and then separately checked for their conformance to Briand’s framework. In case 3, all the metrics were treated under one complexity category and then checked for their conformance to Weyuker’s properties. Results indicate that the new metrics are intuitional and are good if used in their respective categories, or when used together to complement each other in order to give a fuller view of process complexity.
 
 
 
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