• DocumentCode
    3582789
  • Title

    An analysis and assessment approach for collaborative process in service-oriented architectures

  • Author

    Hachicha, Maroua ; Moalla, Nejib ; Ouzrout, Yacine

  • Author_Institution
    DISP Lab., Univ. of Lyon 2, Lyon, France
  • fYear
    2014
  • Firstpage
    707
  • Lastpage
    714
  • Abstract
    The role of Information Technology (IT) is critical in supporting business processes. This role is even more critical when organizations operate in a dynamic, uncertain and extremely competitive environment. The growing role of IT in organizations imposes the alignment of their use with business processes requirements and company strategy. The necessity of Business/IT alignment is a key to improve business performance. This paper proposes a methodology for analyzing and evaluating the quality of business process execution. The aim of this methodology is to assess the business process during its lifecycle and to propose some solutions to restore the alignment between IT infrastructure and Business Process in a collaborative context. Our approach is composed of 5 models, (1) analysis reference model (risk, maturity...) for analyzing the component execution traces in business processes, (2) ontological model to ensure the description of processes between the applicative level (execution), functional level and business level, (3) interpretation model (butom-up) for aggregating the performance of processes at business level, (4) assessment business process model based on Key Indicators Performance and (5) aggregation model to validate the final performance for collaborative business process.
  • Keywords
    business data processing; ontologies (artificial intelligence); service-oriented architecture; IT infrastructure alignment; analysis reference model; applicative level; business level; business process execution quality; business process model assessment; collaborative business process; functional level; key indicators performance; ontological model; service-oriented architectures; Analytical models; Capability maturity model; Collaboration; Companies; Ontologies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Systems and Applications (AICCSA), 2014 IEEE/ACS 11th International Conference on
  • Type

    conf

  • DOI
    10.1109/AICCSA.2014.7073269
  • Filename
    7073269