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Table of contents
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1 - Introduction to Modelling
Pages 9-17 - Book chapterAbstract only
2 - Data Modelling
Pages 19-52 - Book chapterAbstract only
3 - How to do Data Modelling
Pages 53-161 - Book chapterAbstract only
4 - Process Modelling
Pages 163-205 - Book chapterAbstract only
5 - How to do Process Modelling
Pages 207-277 - Book chapterAbstract only
6 - Improving a System Using Analysis Deliverables
Pages 279-302 - Book chapterAbstract only
7 - Elementary Activities
Pages 303-371 - Book chapterAbstract only
8 - Summary
Pages 373-376 - Book chapterNo access
Index
Pages 377-383
About the book
Description
Computer Weekly Professional Series: Data modeling and Process modeling: Using the Most Popular Methods focuses on the processes, methodologies, and approaches employed in data modeling and process modeling. The book first offers information on data modeling, how to do data modeling, and process modeling. Discussions focus on diagrammatic representation, main concepts of process modeling, merging the models, refining the data model, diagrammatic techniques, fundamental rules of data modeling, and other deliverables of data modeling. The text then examines how to do process modeling and improving a system using analysis deliverables. Topics include problems, causes and effects, events, obligations and objectives, verification methods, and refining the results. The manuscript reviews elementary activities, including structured text and access paths, updating the data model from the access paths and structured English, and other useful detailed deliverables of an elementary activity. The publication is a valuable source of data for researchers interested in data modeling and process modeling.
Computer Weekly Professional Series: Data modeling and Process modeling: Using the Most Popular Methods focuses on the processes, methodologies, and approaches employed in data modeling and process modeling. The book first offers information on data modeling, how to do data modeling, and process modeling. Discussions focus on diagrammatic representation, main concepts of process modeling, merging the models, refining the data model, diagrammatic techniques, fundamental rules of data modeling, and other deliverables of data modeling. The text then examines how to do process modeling and improving a system using analysis deliverables. Topics include problems, causes and effects, events, obligations and objectives, verification methods, and refining the results. The manuscript reviews elementary activities, including structured text and access paths, updating the data model from the access paths and structured English, and other useful detailed deliverables of an elementary activity. The publication is a valuable source of data for researchers interested in data modeling and process modeling.
Details
ISBN
978-0-7506-0739-1
Language
English
Published
1992
Copyright
Copyright © 1992 Elsevier Ltd. All rights reserved.
Imprint
Butterworth-Heinemann