Guide to Software Development Designing and Managing the Life Cycle 2nd Edition by Arthur M Langer ISBN 1447167996 9781447167990

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ISBN 10: 1447167996 
ISBN 13: 9781447167990
Author: Arthur M. Langer

This book presents a guide to navigating the complicated issues of quality and process improvement in enterprise software implementation, and the effect these have on the software development life cycle (SDLC). Offering an integrated approach that includes important management and decision practices, the text explains how to create successful automated solutions that fit user and customer needs, by mixing different SDLC methodologies. With an emphasis on the realities of practice, the book offers essential advice on defining business requirements, and managing change. This revised and expanded second edition includes new content on such areas as cybersecurity, big data, and digital transformation. Features: presents examples, case studies, and chapter-ending problems and exercises; concentrates on the skills needed to distinguish successful software implementations; considers the political and cultural realities in organizations; suggests many alternatives for how to manage and model a system.

Guide to Software Development Designing and Managing the Life Cycle 2nd Table of contents:

1: Introduction
What Is, Is
Just What Is a Complex Project?
Development
Testing
Production
Backup, Recovery, and Archiving
Reference
Part I: Determining Needs
2: Assessing Business Requirements
The Tiers of Software Development
User Interface
Tools
Productivity Through Automation
Object Orientation
Client/Server
Internet/Intranet
Establishing User Interfaces
Forming an Interview Approach
Dealing with Political Factions
Categories and Levels of Users
Joint Application Development (JAD)
Problems and Exercises
3: Build Versus Buy
Drivers and Supporters
The Supporter Side of Buying
Open-Source Paradigm
Cloud Computing Options
Deployment Models
Summary
Problems and Exercises
References
4: Establishing Requirements Using a Request for Proposal (RFP) and a Request for Information (RFI)
RFI
RFP
Requirements Document
Problems and Exercises
5: Searching for Solutions
Selecting the Management Team
The Process of Due Diligence
Performing Reference Checks
Reviewing Financial Statements
Doing Bank References
Scheduling On-Site Demonstrations
Scheduling On-Site Review at Vendor Site(s)
Reviewing Vendor Training Capabilities
Understanding the Product Upgrade Process
General Questions to Ask
Understanding the Vendor Ownership
Reviewing the Product’s Architecture and Design
Finding Vendors
Paying for a Plan
Summary
Problems and Exercises
Reference
6: Controlling Costs and Realistic Budgeting
Controlling Costs
Hardware and Infrastructure
Software
Consulting Fees
Customization Costs
The Balanced Scorecard as a Budget Tool
Problems and Exercises
References
7: Analysis Methods and Tools
The Concept of the Logical Equivalent
Tools of Structured Analysis
Making Changes and Modifications
Pre-Modeled
Being Consistent
Version Control
Legacy Systems
The Data Approach
The Process Approach
Specification Formats
Problems and Exercises
Part II: Development Architecture
8: Creating Requirements Documents Using Analysis Tools
Purpose
Advantages of the DFD
Disadvantages of the DFD
Process Flow Diagrams
Components of a PFD
DFD-PFD Compared
Sequence of Implementation
Data Dictionary
Equivalence (=)
Concatenation (+)
Either/Or with Option Separator ([/])
Optional ()
Iterations of { }
Comments (**)
Process Specifications
Pseudocode
The Good
The Bad
The Ugly
Case
The Good
The Bad
The Ugly
Pre-post Conditions
The Good
The Bad
The Ugly
Matrix
The Good
The Bad
The Ugly
Conclusion
State Transition Diagrams
Entity Relationship Diagrams
Problems and Exercises
Mini-Project
References
9: The Data
Introduction to Databases
Logic Data Modeling
Logic Data Modeling Procedures
Key Attributes
Normalization
Limitations of Normalization
The Supertype/Subtype Model
Key Business Rules
Combining User Views
Integration with Existing Data Models
Determining Domains and Triggering Operations
De-Normalization
Summary
Problems and Exercises
Mini-Project
References
10: Legacy Systems and Integration
Introduction
Types of Legacy Systems
Third-Generation Language Legacy System Integration
Replacing Third-Generation Legacy Systems
Approaches to Logic Reconstruction
Enhancing Third-Generation Legacy Systems
Data Element Enhancements
Application Enhancements
“Leaving As Is”:Third-Generation Legacy Systems
Fourth-Generation Language Legacy System Integration
Replacing Fourth-Generation Legacy Systems
Approaches to Logic Reconstruction
Enhancing Fourth-Generation Legacy Systems
“Leaving As Is”: Fourth-Generation Legacy Systems
Hybrid Methods: The Gateway Approach
Incremental Application Integration
Incremental Data Integration
Converting Legacy Character-Based Screens
The Challenge with Encoded Legacy Screen Values
Legacy Migration Methodology
Step 1: Analyze the Existing Legacy Systems
Step 2: Decompose Legacy Systems to Determine Schedules of Migration and Linkage Strategies
Step 3: Design “As Is” Links
Step 4: Design Legacy Enhancements
Step 5: Design Legacy Replacements
Step 6: Design and Integrate New Databases
Step 7: Determine New Infrastructure and Environment, Including Gateways
Step 8: Implement Enhancements
Step 9: Implement Links
Step 10: Migrate Legacy Databases
Step 11: Migrate Replacement Legacy Applications
Step 12: Incrementally Cutover to New Systems
Problems and Exercises
References
11: Business Process Reengineering
Analyzing Legacy Systems for Replacement
Data Elements
Applications
Combining Structured and Object Techniques
Dealing with End Users
Information Systems Issues
System Development Life Cycle (SDLC)
Pilot Applications
Downsizing System Components
Transactions vs. Data Warehousing
Problems and Exercises
12: Digital Transformation and Consumer Requirements
Requirements Without Users and Without Input
Concepts of the S-Curve and Digital Transformation Analysis and Design
Analysis and Design and the S-Curve
Communities of Practice
Change Management
The Role of the Analyst in Change Management for IT Organizations
The Analyst in the Digital Transformation Era
Problems and Exercises
References
13: Data Analytics and Data Warehouses
Introduction
Data Warehousing Concepts
Performance Benefits of Data Warehouses
Concept of Multiple Dimensions
Data Warehouse Architecture
Extracting Data from the Source
Staging the Extracted Data
Read-Only Activities
Front-End Tools
Types of Data Warehouse Architecture
The Packaged Software Decision Support Life Cycle
Phase 1: Planning
Phase 2: Gathering Data Requirements and Modeling
Phase 3: Physical Database Design and Development
Phase 4: Data Mapping and Transformation
Phase 5: Populating the Data Warehouse
Phase 6: Automating Data Management Procedures
Phase 7: Application Development and Reporting
Report Access and Analysis
Types of Query Tools
Phase 8: Data Validation and Testing
Phase 9: Training
Phase 10: Rollout
Understanding Metadata
Considerations for Using Big Data
Data Visualization and Design
Mobile Applications
Problems and Exercises
References
14: Documentation and Acceptance Testing
Acceptance Test Plans
Quality During Analysis
Cannot Test 100% of Everything
More Efficient Development
Budget Process
Establish the Task List
Interviewing
Modeling
Acceptance Test Plans
Problems and Exercises
Part III: How to Implement
15: Project Management
Introduction
Defining the Project
Identify Objectives
Identify Users
Determining the Scope of the Project
Managing Scope
The Budget
The Project Team
Project Team Dynamics
Set Rules and Guidelines for Communication
Extranet Review Sites
Working with User Resources
Outsourcing
Planning and Process Development
Technical Planning
Defining Technical Development Requirements
Maintenance
Project Management and Communication
Summary
Problems and Exercises
References
16: Virtual Teams and Outsourcing
Status of Virtual Teams
Project Management Challenges
Dealing with Multiple Locations
Externalization
Internalization
Combination
Socialization
Externalization Virtual Project Management
Internalization Virtual Project Management
Combination Virtual Project Management
Socialization Dynamism
Dealing with Multiple Locations and Outsourcing
Social Discourse in Virtual Project Management
Identity
Skills
Emotion
Problems and Exercises
References
17: Cyber Security, ISO 9000, and the Software Development Life Cycle
Cyber Security in Analysis and Design
Cyber Security Risk in the S-Curve
Decomposition in Cyber Security Analysis
Risk Responsibility
Developing a System of Procedures
Why ISO 9000?
How to Incorporate ISO 9000 into Existing Software Life Cycles
Interfacing IT Personnel
Committing to ISO 9000
Problems and Exercises
References
18: Vendor Contract Considerations
Ownership and Rights
Legal Protections and Coverage
Financials
Deliverables and Performance
Contract Considerations in a Global Economy
Problems and Exercises
19: Going Live and Conclusions
User Training
The Role of IT

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