Handbook of conceptual modeling : theory, practice, and research challenges

Conceptual modeling is about describing the semantics of software applications at a high level of abstraction in terms of structure, behavior, and user interaction.Embley and Thalheim start with a manifesto stating that the dream of developing information systems strictly by conceptual modeling as e...

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Détails bibliographiques
Auteurs principaux : Embley David W. (Éditeur scientifique), Thalheim Bernhard (Éditeur scientifique)
Format : Livre
Langue : anglais
Titre complet : Handbook of conceptual modeling : theory, practice, and research challenges / David W. Embley, Bernhard Thalheim, editors
Publié : Heidelberg[etc] : Springer , C 2011
Description matérielle : 1 vol. (XIX-589 p.)
Contenu : Section I: Programming with Conceptual Models. Section II: Structure Modelling. Section III: Process Modelling. Section IV: User Interface Modelling. Section V: Special Challenge Areas
Sujets :
Documents associés : Autre format: Handbook of Conceptual Modeling
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330 |a Conceptual modeling is about describing the semantics of software applications at a high level of abstraction in terms of structure, behavior, and user interaction.Embley and Thalheim start with a manifesto stating that the dream of developing information systems strictly by conceptual modeling as expressed in the phrase the model is the code is becoming reality. The subsequent contributions written by leading researchers in the field support the manifesto's assertions, showing not only how to abstractly model complex information systems but also how to formalize abstract specifications in ways that let developers complete programming tasks within the conceptual model itself. They are grouped into sections on programming with conceptual models, structure modeling, process modeling, user interface modeling, and special challenge areas such as conceptual geometric modeling, information integration, and biological conceptual modeling.The Handbook of Conceptual Modeling collects in a single volume many of the best conceptual-modeling ideas, techniques, and practices as well as the challenges that drive research in the field. Thus it is much more than a traditional handbook for advanced professionals, as it also provides both a firm foundation for the field of conceptual modeling, and points researchers and graduate students towards interesting challenges and paths for how to contribute to this fundamental field of computer science. 
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