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Analysis within the Systems Development Life-Cycle -  Rosemary Rock-Evans

Analysis within the Systems Development Life-Cycle (eBook)

Data Analysis - The Deliverables
eBook Download: PDF
2014 | 1. Auflage
386 Seiten
Elsevier Science (Verlag)
978-1-4831-4041-4 (ISBN)
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Analysis within the Systems Development Life-Cycle: Book 1, Data Analysis-The Deliverables provides a comprehensive treatment of data analysis within the systems development life-cycle and all the deliverables that need to be collected in analysis. The purpose of deliverables is explained and a number of alternative ways of collecting them are discussed. This book is comprised of five chapters and begins with an overview of what ''analysis'' actually means, with particular reference to tasks such as hardware planning and software evaluation and where they fit into the overall cycle. The next chapter introduces the main concepts that will be used throughout the rest of the book, along with the main diagrammatic techniques that will be used to represent the deliverables. The discussion then turns to important categories of concept; what facts to collect about entity types; what facts to collect about attribute types; and the deliverables of the data design part of the systems development cycle. The final chapter summarizes all the deliverables and puts them into the context of the systems development cycle by describing the ''systems engine''-the ''meta-model'' of the systems development life-cycle. This monograph will be of interest to systems analysts and designers.
Analysis within the Systems Development Life-Cycle: Book 1, Data Analysis-The Deliverables provides a comprehensive treatment of data analysis within the systems development life-cycle and all the deliverables that need to be collected in analysis. The purpose of deliverables is explained and a number of alternative ways of collecting them are discussed. This book is comprised of five chapters and begins with an overview of what "e;"e;analysis"e;"e; actually means, with particular reference to tasks such as hardware planning and software evaluation and where they fit into the overall cycle. The next chapter introduces the main concepts that will be used throughout the rest of the book, along with the main diagrammatic techniques that will be used to represent the deliverables. The discussion then turns to important categories of concept; what facts to collect about entity types; what facts to collect about attribute types; and the deliverables of the data design part of the systems development cycle. The final chapter summarizes all the deliverables and puts them into the context of the systems development cycle by describing the "e;"e;systems engine"e;"e;-the "e;"e;meta-model"e;"e; of the systems development life-cycle. This monograph will be of interest to systems analysts and designers.

Front Cover 1
Analysis within the Systems Development Life-Cycle: Data Analysis — The Deliverables 4
Copyright Page 5
Table of Contents 10
Preface 12
Introduction 14
Acknowledgements 18
Chapter 1. The systems development life-cycle/deliverables 20
1 Introduction 22
2 Deliverables 22
3 Detailed description of the stages in the SDC 24
4 Why it is called a systems development 'cycle' 31
5 The SDC and its place within the management services activity 31
6 Summary 35
Chapter 2. Introducing the main concepts and diagrammatic techniques of data analysis 40
1 Introduction 42
2 Main concepts 42
3 Main diagrammatic technique—data modelling 48
4 Additional diagrammatic technique—'entity life-cycles' 93
5 Summary 96
Chapter 3. Important classes or categories of concept (for experts only) 98
1 Introduction 100
2 The entity type 100
3 Relationship type 136
4 Attribute types 136
5 Permitted values 145
6 Summary 150
Chapter 4. The deliverables of data analysis 152
1 Introduction 154
2 Entity type deliverables 164
3 Relationship type deliverables 226
4 Attribute type deliverables 256
5 Permitted values and ranges 294
6 Documenting existing and proposed designed systems/mapping to analysis concepts 304
7 Summary 347
Chapter 5. A summary 348
1 Introduction 350
2 Data analysis 350
3 Data design 359
4 The mapping from analysis to design 366
5 Other general concepts 369
6 General 372
Glossary and acronyms 374
Index 386

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