• DocumentCode
    2118367
  • 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
  • fYear
    2009
  • fDate
    27-28 Feb. 2009
  • Firstpage
    433
  • Lastpage
    437
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks, 2009. ICCSN '09. International Conference on
  • Conference_Location
    Macau
  • Print_ISBN
    978-0-7695-3522-7
  • Type

    conf

  • DOI
    10.1109/ICCSN.2009.154
  • Filename
    5076888