• DocumentCode
    2873598
  • Title

    Process control-flow complexity metric: An empirical validation

  • Author

    Cardoso, Jorge

  • Author_Institution
    Dept. of Math. & Eng., Madeira Univ., Funchal
  • fYear
    2006
  • fDate
    18-22 Sept. 2006
  • Firstpage
    167
  • Lastpage
    173
  • Abstract
    Organizations are increasingly faced with the challenge of managing business processes, workflows, and, recently, Web processes. One important aspect of processes that has been overlooked is their complexity. High complexity in processes may result in bad understandability, errors, defects, and exceptions leading processes to need more time to develop, test, and maintain. Therefore, excessive complexity should be avoided. This paper describes an experiment designed to validate the control-flow complexity (CFC) metric that we have proposed in our previous work. In order to demonstrate that our CFC metric serves the purpose it was defined for, we have carried out an empirical validation by means of a controlled experiment. The explanation of the steps followed to do the experiment, the results, and the conclusions obtained are the main objectives of this paper
  • Keywords
    business data processing; organisational aspects; software metrics; Web processes; business processes managment; process control-flow complexity metric; workflow management; Business process re-engineering; Engineering management; Frequency; Mathematics; Process control; Process design; Project management; Software engineering; Software measurement; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing, 2006. SCC '06. IEEE International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7695-2670-5
  • Type

    conf

  • DOI
    10.1109/SCC.2006.82
  • Filename
    4026918