Computers & Geosciences - Special issue on GIS design models
Analysis patterns: reusable objects models
Analysis patterns: reusable objects models
Object models (2nd ed.): strategies, patterns, and applications
Object models (2nd ed.): strategies, patterns, and applications
Specifying analysis patterns for geographic databases on the basis of a conceptual framework
Proceedings of the 7th ACM international symposium on Advances in geographic information systems
Spatio-temporal conceptual models: data structures + space + time
Proceedings of the 7th ACM international symposium on Advances in geographic information systems
The deotnic pattern—a framework for domain analysis in information systems design
Data & Knowledge Engineering - Special issue on formal ontology and conceptual modeling
Proceedings of the 8th ACM international symposium on Advances in geographic information systems
Data Model Patterns: Conventions of Thought
Data Model Patterns: Conventions of Thought
Fundamentals of Database Systems
Fundamentals of Database Systems
Tool support for reuse of analysis patterns: a case study
ER'00 Proceedings of the 19th international conference on Conceptual modeling
Entity-relationship and object-oriented formalisms for modeling spatial environmental data
Environmental Modelling & Software
Towards systematic software reuse of GIS: Insights from a case study
Computers & Geosciences
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An analysis pattern is any part of a requirement analysis specification that can be reused in the design of new information systems. Analysis patterns permit reuse in a higher level than object-oriented class specialization. This paper describes how an Analysis Patterns Catalog can be applied to improve the productivity during development of GIS application and, consequently, the quality of their databases. The catalog is attached to the ArgoCASEGEO, an open source CASE tool that supports the UML-GeoFrame conceptual model, specific for geographic databases design. The analysis patterns collection is stored in a database composing the Catalog, which is structured through directory architecture. Thus, searching for existing analysis patterns will be an easier and more efficient task.