Title :
Classification and Analyses of Business Process Anomalies
Author :
Kim, Gun-Woo ; Lee, Jeong Hwa ; Son, Jin Hyun
Author_Institution :
Dept. of Comput. Sci. & Eng., Hanyang Univ., Ansan
Abstract :
Business process may have unexpected design anomalies in modeling phase. If business process engine executed without anomalies detection, the inappropriate progress will be executed and that will be lead to massive loss of costs and human capitals in organization. To ensure that there is no design anomalies in business process modeling phase and to detect anomalies of predefined actions within modeling tools are important issues in business process management. In this paper, we provide classification and analyses of business process anomalies, which can effectively use to detect or verification in business process modeling phase.
Keywords :
business data processing; security of data; anomalies detection; business process anomalies; business process management; modeling tools; Business communication; Computer science; Costs; Engineering drawings; Engines; Humans; Joining processes; Monitoring; Phase detection; Productivity; Business Process; Design Anomalies; Process Modeling;
Conference_Titel :
Communication Software and Networks, 2009. ICCSN '09. International Conference on
Conference_Location :
Macau
Print_ISBN :
978-0-7695-3522-7
DOI :
10.1109/ICCSN.2009.154