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This book presents semantic modeling of data as a technique for systems analysis.
- Sales Rank: #1875565 in Books
- Color: Other
- Published on: 1988-04-17
- Original language: English
- Number of items: 1
- Dimensions: 8.80" h x .38" w x 6.40" l, .66 pounds
- Binding: Paperback
- 144 pages
From the Publisher
This book presents semantic modeling of data as a technique for systems analysis.
From the Back Cover
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.
About the Author
Shlaer co-founded Project Technology, Inc., a Berkeley based training and consulting firm.
Mellor co-founded Project Technology, Inc. a Berkeley based training and consulting firm.
Mellor co-founded Project Technology, Inc. a Berkeley based training and consulting firm.
Shlaer co-founded Project Technology, Inc., a Berkeley based training and consulting firm.
Most helpful customer reviews
2 of 2 people found the following review helpful.
A Classic
By Darrell H. Smith
I ran across this book about 1990. I had designed a lot of software for a wide assortment of systems of various scale from the mid 1970's on. It really solidified a lot of analysis viewpoints I had developed by that time. The reviewer below is right in stating it doesn't seamlessly bridge the gap from analysis to application. Nevertheless, an experienced designer will bridge that gap with little effort. The most challenging part of design is analysis and modeling of the system separately from any consideration of the implementation, which is a must for an efficient design. This book does exactly that!
2 of 2 people found the following review helpful.
interesting alternative to other OO books
By A. J. Gauld
This has the merit of being the first book to consider analysis from an OO pespective, but it does so in a distinctly data oriented way(as the title suggests). It is hard to see how behavioural modelling fits. The companion volume "Object Lifecycles" is essential reading if you want to apply this technique successfully in anything like an OO style.
This might make a good bridge for someone with an IM background moving into OO analysis/design. Other texts address this area much better now and apart from historical interest I can't really recommend it to a newcomer to the field.
0 of 0 people found the following review helpful.
I like it
By James
I read this years ago when I was first learning about complex databases. This is NOT about object oriented programming. In fact it is not really about program coding at all, but rather how to determine the best way to structure information in a database. It is also limited to the *structure* of information. It does not talk about processes or timing. It is short, clear, and high level. I bought this for a friend who was just starting to learn SQL and suggested that this book would help understand how to choose the best tables, keys, etc. that are then implemented by SQL. Last I heard, she hasn't read it yet :-( I would have given it a 5 rating when I first read it, but I suspect some of it may be dated now, so I downgraded it to a 4.
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