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Analysis within the Systems Development Life-Cycle
Data Analysis — The Deliverables
- 1st Edition - May 17, 2014
- Author: Rosemary Rock-Evans
- Language: English
- eBook ISBN:9 7 8 - 1 - 4 8 3 1 - 4 0 4 1 - 4
Analysis within the Systems Development Life-Cycle: Book 1, Data Analysis—The Deliverables provides a comprehensive treatment of data analysis within the systems development… Read more
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Request a sales quoteAnalysis 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.
Preface
Introduction
Acknowledgments
Chapter 1 The Systems Development Life-Cycle/Deliverables
1 Introduction
2 Deliverables
3 Detailed Description of the Stages in the SDC
Stage 1: Analysis
Stage 2: Design
Stage 3: Construction
Stage 4: Implementation
Stage 5: Operation
Stage 6: Planning
4 Why it is Called a Systems Development 'Cycle'
5 The SDC and its Place within the Management Services Activity
Software Evaluation; Hardware Production: Organization Production
6 Summary
Chapter 2 Introducing the Main Concepts and Diagrammatic Techniques of Data Analysis
1 Introduction
2 Main Concepts
Entity Types
Relationship Types
Attribute Types
Permitted Values
Summary of the Four Main Building Blocks
3 Main Diagrammatic Technique—Data Modeling
Introduction
Drawing the Model/Basic Diagrammatic Conventions
Types of Model
Model Phases
Model 'Versions'/Change of Business Practice
Summary
4 Additional Diagrammatic Technique—'Entity Life-Cycles'
Introduction
Diagrammatic Conventions
Résumé
5 Summary
Chapter 3 Important Classes or Categories of Concept (for Experts Only)
1 Introduction
2 The Entity Type
Concrete or Abstract Entity Types
Fundamental or Intersection Entity Types
Basic or Derived
Permanent or Transient
3 Relationship Type
4 Attribute Types
Generic or Specific
Basic or Derived
Event Recording/Inherent Property
Permanent or Transient
5 Permitted Values
Codes
Quantitative Values
Fixed Narrative
Value Ranges
6 Summary
Chapter 4 The Deliverables of Data Analysis
1 Introduction
2 Entity Type Deliverables
Responsibility/Allowed Access
Entity Type Version
Names
Definition
Entity Subtypes
Identifier
Distribution Characteristics
3 Relationship Type Deliverables
Responsibility
Versions/Model
Abbreviated Name
Definition
Relationship Type End
Relationship Type End Association
4 Attribute Type Deliverables
Responsibility/Custodianship
Version
Name(s)
Standard Name
Abbreviated Name
Other Names (Synonyms)
Definition
Entity Type or Subtype Described
Attribute Type Association
Format and Picture
Units of Measurement
Units of Scale
Precision Required
Access Authorization
Validation Rules
Derivation Rules
Archiving Rule (Longevity)
5 Permitted Values and Ranges
Permitted Value
Value Name
Value Definition
Value Abbreviated Name
Start Date
End Date
Not Known Value?
Null Value
Initial/Default Value
Permitted Ranges
Start Date
End Date
6 Documenting Existing and Proposed Designed Systems/Mapping to Analysis Concepts
Data Item
Record Type
File Type
Set/Link
Implementation
System (Computer)
Mapping of Analysis to Design Concepts
Attribute Mapping
Code Mapping
Entity Mapping
Relationship Mapping
Entity Group Mapping
Record Partitioning/Entity Type Partitioning Mapping
Entity Occurrence Mapping
7 Summary
Chapter 5 A Summary
1 Introduction
2 Data Analysis
Entity Type
Attribute Type
Attribute Types May Be Associated to One Another
Attribute Types May Have 'Permitted Values'
Relationship Types
An Entity Type May Have One or More Identifiers, But an Identifier Only Identifies One Entity Type
'Subject' Areas or Entity Type Groups
Model Versions
Jobs and Organization
Allowed Access/Responsibility
Entity Type Access Authorization
Partitioning
User Attribute Type Access Authorization
3 Data Design
A Data Item
A Record Type
Association
Set/Link
File Type
File Implementation
File (Physical File) Mapping
Partitioning (Record)
Responsibility for Design Elements
4 The Mapping from Analysis to Design
Relationship Mapping
Attribute Type Mapping
Code/Range Value Mapping
Entity Group Mapping
Entity Partition Mapping
Entity Occurrence Mapping
5 Other General Concepts
Text
Word
6 General
Glossary and Acronyms
Index
- No. of pages: 386
- Language: English
- Edition: 1
- Published: May 17, 2014
- Imprint: Pergamon
- eBook ISBN: 9781483140414
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