Domain Modelling for Interactive Systems DesignAlistair G. Sutcliffe, David Benyon Springer Science & Business Media, 31. okt 1998 - 89 pages Domain Modelling for Interactive Systems Design brings together in one place important contributions and up-to-date research results in this fast moving area. Domain Modelling for Interactive Systems Design serves as an excellent reference, providing insight into some of the most challenging research issues in the field. |
From inside the book
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Page 3
... Scenarios for Acquiring and Validating Requirements ... N.A.M . Maiden Seeding , Evolutionary Growth and Reseeding : Constructing , Capturing and Evolv- ing Knowledge in Domain - Oriented Design Environments ...... Gerhard Fischer ...
... Scenarios for Acquiring and Validating Requirements ... N.A.M . Maiden Seeding , Evolutionary Growth and Reseeding : Constructing , Capturing and Evolv- ing Knowledge in Domain - Oriented Design Environments ...... Gerhard Fischer ...
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Contents
Guest Editors Introduction | 5 |
Developing KnowledgeBased Systems with MIKE | 9 |
Scenarios for Acquiring and Validating Requirements | 39 |
Constructing Capturing and Evolving Knowledge in DomainOriented Design Environments | 67 |
Desert Island Column | 85 |
Other editions - View all
Domain Modelling for Interactive Systems Design Alistair G. Sutcliffe,David Benyon Limited preview - 2012 |
Domain Modelling for Interactive Systems Design Alistair G. Sutcliffe,David Benyon No preview available - 2012 |
Common terms and phrases
action-link rules agent algorithm alternative courses artifacts backslider Christians CommonKADS communication complex computer network Computer Society Press constraints control layer CREWS CREWS-SAVRE tool D₁ data types decision(1 described Design Model design rationale DesignKARL development process dismantling method DODES domain designers domain knowledge domain layer domain model elementary design decisions end-user event-3 evolution evolve example exception classes expert Fensel figure Fischer formal specification functionality goals Human-Computer Interaction IEEE Computer Society implementation inference actions inference layer input integrated interaction KARL Model knowledge acquisition knowledge engineering knowledge protocols knowledge-based systems LAS-CAD logic Maiden Model of Expertise NetDE network design nonfunctional requirements object system models ontologies part-method-pairs Peter problem domain problem-solving method Proc process model prototyping representation requirements engineering retrieved reuse scenario walkthrough seed Select semiformal sins Software Engineering software systems Structure Model Studer Sutcliffe task model University of Karlsruhe users validation