- focuses directly on the information content of a problem — making the technique particularly appropriate for applications with minimal processing requirements (e.g., database problems) or for particularly rich or complex problem environments (e.g., many real-time control systems, decision support systems, or knowledge base systems).
- explains in depth: how to make decisions of model construction, and how to record the results of those decisions.
- first considers information modeling itself, and the problems to which such a model applies. Then shows how the model can be integrated into the software development process.
- presents material in a “picturebook” style — rich in examples and light on theory.
- uses many model fragments throughout, and features four fully-developed models in an appendix.
- Copyright 1988
- Dimensions: 7 x 9 1/4
- Pages: 144
- Edition: 1st
- ISBN-10: 0-13-629023-X
- ISBN-13: 978-0-13-629023-0
This reference describes the semantic modeling of data as a technique for systems analysis. Authors focus first on information modeling itself and the problems to which such a model applies, and then demonstrates how the model can be integrated into the software development process. Four fully developed models are included in the appendix.
Table of Contents
1. Why Information Modeling?
2. Basic Ideas.
6. Constructions Involving Many Objects.
7. Representation of the Informal Method.
9. The Role of the Information Model in System Development.
Appendix A: Tape Robot Information Model.
Appendix B: Tables and Columns: A Model for Shared Real-time Data.