Handbook of Conceptual Modeling [electronic resource] :Theory, Practice, and Research Challenges / edited by David W. Embley, Bernhard Thalheim.
by Embley, David W [editor.]; Thalheim, Bernhard [editor.]; SpringerLink (Online service).
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BookPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg : 2011.Description: XIX, 589p. online resource.ISBN: 9783642158650.Subject(s): Computer science | Software engineering | Computer Science | Software Engineering | Information Systems Applications (incl. Internet)DDC classification: 005.1 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| MAIN LIBRARY | QA76.758 (Browse shelf) | Available |
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Section I: Programming with Conceptual Models -- Section II: Structure Modelling -- Section III: Process Modelling -- Section IV: User Interface Modelling -- Section V: Special Challenge Areas.
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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