Analysis within the Systems Development Life-Cycle

Analysis within the Systems Development Life-Cycle

Data Analysis — The Deliverables

1st Edition - January 1, 1987

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  • Author: Rosemary Rock-Evans
  • eBook ISBN: 9781483140414

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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

  • Preface



    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


Product details

  • No. of pages: 386
  • Language: English
  • Copyright: © Pergamon 1987
  • Published: January 1, 1987
  • Imprint: Pergamon
  • eBook ISBN: 9781483140414

About the Author

Rosemary Rock-Evans

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