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  • Ahmad, Naveed  (3)
  • Anjum, Adeel  (3)
  • 1
    Online-Ressource
    Online-Ressource
    Springer Science and Business Media LLC ; 2019
    In:  Cluster Computing Vol. 22, No. S1 ( 2019-1), p. 1703-1716
    In: Cluster Computing, Springer Science and Business Media LLC, Vol. 22, No. S1 ( 2019-1), p. 1703-1716
    Materialart: Online-Ressource
    ISSN: 1386-7857 , 1573-7543
    Sprache: Englisch
    Verlag: Springer Science and Business Media LLC
    Publikationsdatum: 2019
    ZDB Id: 2012757-1
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 2
    Online-Ressource
    Online-Ressource
    Emerald ; 2019
    In:  Business Process Management Journal Vol. 26, No. 2 ( 2019-10-16), p. 548-569
    In: Business Process Management Journal, Emerald, Vol. 26, No. 2 ( 2019-10-16), p. 548-569
    Kurzfassung: Business process (BP) reengineering is defined as reinventing BPs either structurally or technically to achieve dramatic improvements in performance. In any business process reengineering (BPR) project, process modeling is used to reason about problems found in existing (as-is) process and helps to design target (to-be) process. BP model notation is a widely accepted standard for process modeling. “Expressiveness” and “missing formal semantics” are two problems reported to its modeling practices. In existing studies, solutions to these problems are also proposed but still have certain limitations. The paper aims to discuss this issue. Design/methodology/approach In proposed methodology, a meta-model is formally defined that is composed of commonly used modeling elements and their well-formedness rules to check for syntactic and structural correctness of process models. Proposed solution also check semantics of process models and allows to compare as-is and to-be process models for gap identification which is another important aspect of BPR. To achieve the first goal, Z specification is used to provide formal specifications of modeling constructs and their rules and Z3 (an SMT solver) is used for comparisons and verifying properties. Findings Proposed method addresses both “expressiveness” and “missing formal semantics” of BPR models. The results of its evaluation clearly indicate that using formally specified meta-model, BPR model is syntactically and structurally correct. Moreover, formal modeling of BPs in Z3 helped to compare processes and to check control flow properties. Research limitations/implications Although the proposed method is tested on an example that is widely used in BPR literature, the example is only covering modeling elements which are part of the proposed subset and are reported in literature as frequently used modeling elements. A separate detailed study is required to test it on more complex systems. Practical implications Specifying process models using Z specification and Z3 solver requires certain expertise. Originality/value The proposed method adds value to BPR body of knowledge as it proposes a method to ensure structural and syntactic correctness of models, highlighting the importance of verifying run time properties and providing a direction toward comparing process models for gap analysis.
    Materialart: Online-Ressource
    ISSN: 1463-7154
    Sprache: Englisch
    Verlag: Emerald
    Publikationsdatum: 2019
    ZDB Id: 2014421-0
    SSG: 3,2
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 3
    Online-Ressource
    Online-Ressource
    Institute of Electrical and Electronics Engineers (IEEE) ; 2017
    In:  IEEE Access Vol. 5 ( 2017), p. 20319-20332
    In: IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), Vol. 5 ( 2017), p. 20319-20332
    Materialart: Online-Ressource
    ISSN: 2169-3536
    Sprache: Unbekannt
    Verlag: Institute of Electrical and Electronics Engineers (IEEE)
    Publikationsdatum: 2017
    ZDB Id: 2687964-5
    Standort Signatur Einschränkungen Verfügbarkeit
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