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Description
  • Business Object Relation Modelling (BORM) is a method for systems analysis and design that utilises an object oriented paradigm in combination with business process modelling. BORM’s Object Relation Diagram (ORD) is successfully used in practice for object behaviour analysis (OBA). We, however, identified several flaws in the diagram’s behaviour semantics. These occur mostly due to inconsistent and incomplete formal specification of the ORD behaviour. In this paper, we try to amend this gap by introducing so called input and output conditions, which we consider to be the most important first step towards a sound formal specification of the ORD.
  • Business Object Relation Modelling (BORM) is a method for systems analysis and design that utilises an object oriented paradigm in combination with business process modelling. BORM’s Object Relation Diagram (ORD) is successfully used in practice for object behaviour analysis (OBA). We, however, identified several flaws in the diagram’s behaviour semantics. These occur mostly due to inconsistent and incomplete formal specification of the ORD behaviour. In this paper, we try to amend this gap by introducing so called input and output conditions, which we consider to be the most important first step towards a sound formal specification of the ORD. (en)
Title
  • Towards Formal Foundations for BORM ORD Validation and Simulation
  • Towards Formal Foundations for BORM ORD Validation and Simulation (en)
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  • Towards Formal Foundations for BORM ORD Validation and Simulation
  • Towards Formal Foundations for BORM ORD Validation and Simulation (en)
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  • RIV/68407700:21240/14:00221078!RIV15-MSM-21240___
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  • 50824
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  • RIV/68407700:21240/14:00221078
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  • BORM; ORD; Process Simulation; Process Analysis; Formal Foundations (en)
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  • [B0E5D7D3E259]
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  • Lisbon
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  • Porto
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  • Proceedings of the 16th International Conference on Enterprise Information Systems
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  • Pergl, Robert
  • Podloucký, Martin
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number of pages
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  • 10.5220/0004897603150322
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  • SciTePress - Science and Technology Publications
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  • 978-989-758-028-4
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  • 21240
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