Conceptual database design: an Entity-relationship approach
Conceptual database design: an Entity-relationship approach
Understanding Quality in Conceptual Modeling
IEEE Software
Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Quality patterns—an approach to packaging software engineering experience
Proceedings of the 1997 symposium on Software reusability
Strategies for improving the quality of entity relationship models: a “toolkit” for practitioners
Proceedings of the 2000 information resources management association international conference on Challenges of information technology management in the 21st century
Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and the Unified Process
Product metrics for object-oriented systems
ACM Computing Surveys (CSUR)
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Journal of Management Information Systems
Quality Patterns for Conceptual Modelling
ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
Proceedings of the first international workshop on Model driven service engineering and data quality and security
Design and natural science research on information technology
Decision Support Systems
Design science in information systems research
MIS Quarterly
Hi-index | 0.00 |
Conceptual models serve as the blueprints of information systems and their quality plays a decisive role in the success of the end system. It has been witnessed that majority of the IS change-requests result due to deficient functionalities in the information systems. Therefore, a good analysis and design method should ensure that conceptual models are correct and complete, as they are the communicating mediator between the users and the development team. Our approach evaluates the conceptual models on multiple levels of granularity in addition to providing the corrective actions or transformations for improvement. We propose quality patterns to help the non-expert users in evaluating their models with respect to their quality goal. This paper also demonstrates a software utility (CM-Quality) that implements the proposed evaluation approach.