Analysis within the Systems Development Life-Cycle - 1st Edition - ISBN: 9780080341002, 9781483140414

Analysis within the Systems Development Life-Cycle

1st Edition

Data Analysis — The Deliverables

Authors: Rosemary Rock-Evans
eBook ISBN: 9781483140414
Imprint: Pergamon
Published Date: 1st January 1987
Page Count: 386
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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.

Table of Contents




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


Drawing the Model/Basic Diagrammatic Conventions

Types of Model

Model Phases

Model 'Versions'/Change of Business Practice


4 Additional Diagrammatic Technique—'Entity Life-Cycles'


Diagrammatic Conventions


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


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



Entity Subtypes


Distribution Characteristics

3 Relationship Type Deliverables



Abbreviated Name


Relationship Type End

Relationship Type End Association

4 Attribute Type Deliverables




Standard Name

Abbreviated Name

Other Names (Synonyms)


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



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


User Attribute Type Access Authorization

3 Data Design

A Data Item

A Record Type



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



6 General

Glossary and Acronyms



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About the Author

Rosemary Rock-Evans

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