COGEVAL: Applying Cognitive Theories to Evaluate Conceptual Models

COGEVAL: Applying Cognitive Theories to Evaluate Conceptual Models

Stephen Rockwell (University of Tulsa, USA) and Akhilesh Bajaj (University of Tulsa, USA)
Copyright: © 2005 |Pages: 28
DOI: 10.4018/978-1-59140-471-2.ch012
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Conceptual models have been evaluated along the dimensions of modeling complexity (how easy is it to create schemas given requirements?) and readability (how easy is it to understand the requirements by reading the model schema?). In this work, we present COGEVAL, a propositional framework based on cognitive theories to evaluate conceptual models. We synthesize work from the cognitive literature to develop the framework and show how it can be used to explain earlier empirical results as well as existing theoretical frameworks. We illustrate how COGEVAL can be used as a theoretical basis to empirically test readability. Unlike much of the earlier empirical work on readability, our approach isolates the effect of a model-independent variable (degree of fragmentation) on readability. From a practical perspective, our findings will have implications for both creators of new models and practitioners who use currently available models to create schemas.

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Table of Contents
Keng Siau
Chapter 1
Ling Liu, Calton Pu, Duncan Dubugras Ruiz
This chapter presents a framework for dynamic restructuring of long-running business processes. The framework is composed of the ActivityFlow... Sample PDF
Dynamic Workflow Restructuring Framework for Long-Running Business Processes
Chapter 2
Juan Trujillo, Sergio Lujan-Mora, Il-Yeol Song
Data warehouses (DW), multidimensional databases (MDB), and OnLine Analytical Processing (OLAP) applications are based on the Multidimensional (MD)... Sample PDF
Design and Representation of Multidimensional Models with UML and XML Technologies
Chapter 3
Rick L. Wilson, Peter A. Rosen
Data perturbation is a data security technique that adds noise in the form of random numbers to numerical database attributes with the goal of... Sample PDF
Does Protecting Databases Using Perturbation Techniques Impact Knowledge Discovery?
Chapter 4
Scott J. Lloyd, Joan Peckham, Jian Li, Qing (Ken) Yang
Data play an essential role in business today. Most, if not all, e-business applications are database driven, and data backup is a necessary element... Sample PDF
Simultaneous Database Backup Using TCP/IP and a Specialized Network Interface Card
Chapter 5
Kai Mertins, Thomas Knothe, Martin Zelm
This chapter introduces Enterprise Modeling from a user point of view as a means to support new approaches for the development of networked... Sample PDF
Towards User-Oriented Enterprise Modeling for Interoperability
Chapter 6
John Krogstie, Vibeke Dalberg, Siri Moe Jenson
As more and more modern modeling tools provide the possibility of developing specialized and new modeling languages (also called meta modeling or... Sample PDF
Using a Model Quality Framework for Requirements Specification of an Enterprise Modeling Language
Chapter 7
Adolfo Lozano-Tello, Asunción Gomez-Perez
At present, the Web offers available information to people in diverse ways. With the initiative of Semantic Web, the aim is to make the content of... Sample PDF
Population of a Method for Developing the Semantic Web Using Ontologies
Chapter 8
Yun Lin, Jennifer Sampson, Sari Hakkarainen, Hao Ding
This chapter performs a systematic evaluation of two domain models and modeling languages – UML and OWL. A semiotic quality framework is used to... Sample PDF
An Evaluation of UML and OWL Using a Semiotic Quality Framework
Chapter 9
Owen Ericksson, Pär J. Agerfalk
In traditional modeling approaches, such as entity-relationship modeling, the predominant information modeling problem is how to represent external... Sample PDF
Information Modeling Based on Semantic and Pragmatic Meaning
Chapter 10
Terry Halpin
While some information modeling approaches (e.g., the Relational Model and Object-Role Modeling) are typically formalized using first-order logic... Sample PDF
Higher-Order Types and Information Modeling
Chapter 11
Keng Siau
Information modeling methods are key to the success of IS development projects. The problem in the software engineering field is not the lack of... Sample PDF
Criteria for Comparing Information Modeling Methods: Informational and Computational Equivalence
Chapter 12
Stephen Rockwell, Akhilesh Bajaj
Conceptual models have been evaluated along the dimensions of modeling complexity (how easy is it to create schemas given requirements?) and... Sample PDF
COGEVAL: Applying Cognitive Theories to Evaluate Conceptual Models
Chapter 13
Judith Kabeli, Peretz Shoval
Functional and Object Oriented Methodology (FOOM) combines two essential software-engineering paradigms: the functional (process-oriented) approach... Sample PDF
Quality Analysis Specifications: A Comparison of FOOM and OPM Methodologies
Chapter 14
Christophe Nicolle, Kokou Yetongnon, Jean-Claude Simon
This paper presents a Web-based data integration methodology and tool framework, called X-TIME, for the development of Business-to-Business (B2B)... Sample PDF
Interoperability of B2B Applications: Methods and Tools
Chapter 15
Richard Baskerville, Victor Portougal
Possibility theory is an alternative to probability theory as a basis for security management in settings where information resources are elements... Sample PDF
Possibility Theory in Protecting National Information Infrastructure
Chapter 16
Akhilesh Bajaj, Sudha Ram
Recently, there has been increased interest in information sharing among government agencies with a view toward improving security, reducing costs... Sample PDF
Enabling Information Sharing Across Government Agencies
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