• DocumentCode
    119427
  • Title

    A Behavior-Aware Systematic Approach for Merging Business Process Fragments

  • Author

    Zemni, Mohamed Anis ; Mammar, Amel ; Ben Hadj Alouane, Nejib

  • Author_Institution
    OASIS, Ecole Nat. des Sci. de l´Inf., Manouba, Tunisia
  • fYear
    2014
  • fDate
    4-7 Aug. 2014
  • Firstpage
    194
  • Lastpage
    197
  • Abstract
    Recent researches have proposed to retrieve relevant fragments out from whole business processes to build new ones. Although they avoid building business processes from scratch, this task has been performed independently for each process, thus, making resulting fragments handling complicated. In this paper, we propose to merge some given business process fragments in order to facilitate the fragment-based business process design. At the same time, the obtained fragment must keep the behavior of original fragments so as to avoid paths execution blockage while the obtained fragments are integrated as part of a complete process. Our approach presents a systematic merge revolving around the so-called adjacency matrices. Typically used to handle graphs, this mechanism is adapted to business process fragments. We also present some rules to provide the obtained fragments with the behavior of original fragments and avoid inconsistent behaviors that were newly added after the merge.
  • Keywords
    business data processing; matrix algebra; merging; adjacency matrices; behavior-aware systematic approach; business process fragment merging; fragment-based business process design; graph handling; paths execution blockage; Buildings; Business; Convergence; Logic gates; Merging; Process control; Systematics; Business process fragment; adjacency matrix; behavior; merge;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering of Complex Computer Systems (ICECCS), 2014 19th International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4799-5481-0
  • Type

    conf

  • DOI
    10.1109/ICECCS.2014.35
  • Filename
    6923137