• DocumentCode
    3063244
  • Title

    Prediction Models for BPMN Usability and Maintainability

  • Author

    Rolón, Elvira ; Sánchez, Laura ; García, Félix ; Ruiz, Francisco ; Piattini, Mario ; Caivano, Danilo ; Visaggio, Giuseppe

  • Author_Institution
    Univ. Centre Tampico-Madero S/N, Autonomous Univ. of Tamaulipas, Tampico, Mexico
  • fYear
    2009
  • fDate
    20-23 July 2009
  • Firstpage
    383
  • Lastpage
    390
  • Abstract
    The measurement of a business process in the early stages of the lifecycle, such as the design and modelling stages, could reduce costs and effort in future maintenance tasks. In this paper we present a set of measures for assessing the structural complexity of business processes models at a conceptual level. The aim is to obtain useful information about process maintenance and to estimate the quality of the process model in the early stages. Empirical validation of the measures was carried out along with a linear regression analysis aimed at estimating process model quality in terms of modifiability and understandability.
  • Keywords
    business process re-engineering; regression analysis; software management; BPMN prediction models; business process measurement; business processes structural complexity; linear regression analysis; Costs; Crisis management; Engineering management; Linear regression; Predictive models; Reliability engineering; Risk management; Software measurement; Time measurement; Usability; business process models; measurement; regression model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Commerce and Enterprise Computing, 2009. CEC '09. IEEE Conference on
  • Conference_Location
    Vienna
  • Print_ISBN
    978-0-7695-3755-9
  • Type

    conf

  • DOI
    10.1109/CEC.2009.53
  • Filename
    5210770