• DocumentCode
    475860
  • Title

    An Ensemble of Complexity Metrics for BPEL Web Processes

  • Author

    Parizi, Reza Meimandi ; Ghani, Abdul Azim Abdul

  • Author_Institution
    Dept. of Inf. Syst., Univ. Putra Malaysia, Serdang
  • fYear
    2008
  • fDate
    6-8 Aug. 2008
  • Firstpage
    753
  • Lastpage
    758
  • Abstract
    So far a significant amount of research has been done on the complexity of software programs, and various software complexity metrics have been developed but few researches on process complexity measurement, especially BPEL processes, has yet been carried out. Since several organizations have already realized the potential of using the Business Process Execution Language for Web Service (BPEL4WS) to model the behavior of web services in business processes we feel however, that it is important to focus on complexity metrics to evaluate the complexity of BPEL processes because in some cases, BPEL process deigns can be highly complex and consequently can result in several undesirable drawbacks. Analyzing the complexity via metrics at all the stages of process deign and development helps avoid these drawbacks. This paper analyzes the complexity metrics of BPEL web process that have been proposed by earlier researches and addresses the issues related to development of these metrics. We believe that our work contributes to a better understanding of BPEL complexity and can be used as a reference for those who want to analyze the design of web processes using measurement strategies.
  • Keywords
    Web services; business data processing; software metrics; Web service; business process execution language; complexity metrics; measurement strategies; software complexity metrics; software programs complexity; Artificial intelligence; Companies; Distributed computing; IP networks; Information systems; Publishing; Software engineering; Web and internet services; Web services; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2008. SNPD '08. Ninth ACIS International Conference on
  • Conference_Location
    Phuket
  • Print_ISBN
    978-0-7695-3263-9
  • Type

    conf

  • DOI
    10.1109/SNPD.2008.152
  • Filename
    4617462