SOFTWARE DEVELOPMENT PATTERNS AND ANTIPATTERNS.

Cover
Half Title
Title Page
Copyright Page
Table of Contents
Appreciation and Acknowledgments
Preface
Biography
Part 1: Worst-Case Patterns of Software Development
	Chapter 1: Challenges of Software Project Management
		Improving Software Project Management Tools and Training
			Initial Education for New Project Managers
			Continuing Education for Software Project Managers
			Guest Lectures from Visiting Experts (Remotely via Zoom or Other Tools)
			Acquisition and Use of Software Parametric Estimation Tools
			Acquisition and Use of Progress and Milestone Tracking Tools
			The Use of Formal Project Offices (PMOs) for Applications >1,000 Function Points
			Use and Measurement of Effective Quality Control Methods
			Elimination of Bad Metrics and Adoption of Effective Software Metrics
			Primary Software Metrics for High Precision
			Supplemental Software Metrics for High Precision
			Commissioning Annual Software Benchmark Studies
			Formal Best Practice Analysis of Software Tools, Methods, and Quality
		Summary and Conclusions on Software Project Management
		Suggested Readings on Software Project Management
		Suggested Web Sites
	Chapter 2: Wastage: Lost Time and Money Due to Poor Software Quality
		Introduction
		Analyzing the Work Patterns of Software Engineers and Programmers
		Reuse of Certified Materials for Software Projects
		Achieving Excellence in Software Quality Control
			Excellent Quality Control
			Average Quality Control
			Poor Quality Control
		Summary and Conclusions
	Chapter 3: Root Causes of Poor Software Quality
		Introduction
		Software Quality Education Curricula
		References and Readings in Software Quality Control
	Chapter 4: Defenses Against Breach of Contract Litigation
		Introduction
		Problem 1: Estimating Errors and Estimate Rejection
		Problem 2: Missing Defensible Objective Benchmarks
		Problem 3: Rapidly Changing Requirements
		Problem 4: Poor Quality Control
		Problem 5: Poor Software Milestone Tracking
		Problem 6: Flawed Outsource Agreements that Omit Key Topics
		Summary and Observations Based on Breach of Contract Litigation
		Suggested Readings
		Web Sites
		Suggested Web Sites
	Chapter 5: The Mess of Software Metrics
		Introduction
		Defining Software Productivity
		Defining Software Quality
		Patterns of Successful Software Measurements and Metrics
		Successful Software Measurement and Metric Patterns
			Function Points for Normalizing Productivity Data
			Function Points for Normalizing Software Quality
			Defect Potentials Based on all Defect Types
			Defect Removal Efficiency (DRE) Based on All Defect Types
			Defect Removal Efficiency Including Inspections and Static Analysis
			Defect Removal Efficiency Based on 90 Days after Release
			Activity-Based
Benchmarks for Development
		Needs for Future Metrics
		Summary and Conclusions
		Why Cost per Defect Penalizes Quality
			Case A: Poor Quality
			Case B: Good Quality
			Case C: Zero Defects
		Using Function Point Metrics for Defect Removal Economics
		The Value of Quality for Large Applications of 10,000 Function Points
		Appendix B: Side-by-SideComparisons of 79Languages using LOC and Function Points
		References and Readings
			Books and monographs by Capers Jones
		Monographs by Capers Jones 2012–2020 available from Namcook Analytics LLC
		Books by Other Authors
		Software Benchmark Providers (listed in alphabetic order)
	Chapter 6: Variations in Software Costs and Quality by Application Size
		Introduction
		Summary and Conclusions
		References and Readings
	Chapter 7: Advancing Software from a Craft to a Profession
		Introduction
		What Are the Indicators of a Profession?
		Why Software Engineering in Not Yet a Profession
			Topic 1: Reduce the Many Software Failures
			Topic 2: Reduce Cost and Schedule Overruns
			Topic 3: Improve Software Quality after Deployment
			Topic 4: Improve Today’s Low Software Development Productivity and Long Schedules
			Topic 5: Improve Poor Software Securityand Reduce Cyber-Attacks
			Topic 6: Stop Using Inaccurate and Invalid Metrics That Distort Reality
			Topic 7: Adopt Accurate Metrics and Effective Measurement Practices
			Topic 8: Improve Inaccurate and Optimistic Estimates before Starting Projects
			Topic 9: Eliminate Inaccurate Status Tracking
			Topic 10: Reduce High Maintenance Costs after Deployment
			Topic 11: Reduce or Eliminate Litigation from Unhappy Clients
			Topic 12: Improve Undergraduate and Graduate Software Education
			Topic 13: Improve Post-Graduateand On-the-JobSoftware Education
			Topic 14: Introduce Software Licensing and Board Certification
			Topic 15: Move from Custom and Manual Development to Standard Reusable Components
			Topic 16: Develop Effective Methods for Working at Home Due To Corona Virus
			Summary and Conclusions on Software Professionalism
		References and Readings on Software and Selected Texts on Medical Practice
Part 2: Best-Case Patterns of Software Development
	Chapter 8: Corporate Software Risk Reduction in a Fortune 500 Company
		Introduction
		A National Talent Search
		Fact Finding and Software Assessments
		Software Applications in Use
		The Initial Report to the Chairman
		Corporate Software Risk Factors Found by the Initial Assessment
		The Corporate Risk Reduction Strategy: Fix Quality First
		Four-Year Software Risk Reduction Targets
		Creating a Software Engineering Laboratory
			Education
			Applied Technology
			Advanced Technology
			Measurements
			Communications
			Administration
		Results of the Corporate Risk Reduction Program
		Cost Justifying a Corporate Risk Reduction Program
			Cost Recovery on the Development Side
			Cost Recovery on the Maintenance Side
			Asset Value of a Library of Reusable Artifacts
			Adding Value through Shorter Development Schedules
			Adding Value through Higher Revenues
			Adding Value from Disaster Avoidance
			Adding Value from Reduced Litigation Risk
			Adding Value from Improved Staff and Management Morale
			Adding Value from Recruiting and Keeping Top-Ranked Personnel
			Adding Value from Customer Loyalty
			Overall Value from Effective Process Improvements
		Summary and Conclusions
		Appendix A: Master List of 210 CorporateSoftware Risks
		References and Readings
	Chapter 9: Achieving Software Excellence
		Introduction
		Software Sizing, Estimating, and Project Tracking Differences
		Software Quality Differences for Best, Average, and Poor Projects
			Excellent Quality Control
			Average Quality Control
			Poor Quality Control
		Reuse of Certified Materials for Software Projects
		Reusable Software Artifacts Circa 2019
		Software Methodologies
		Quantifying Software Excellence
		The Metaphor of Technical Debt
		Stages in Achieving Software Excellence
			Stage 1: Quantify Your Current Software Results
			Stage 2: Begin to Adopt State of the Art Quality Tools and Methods
				Formal Sizing, Estimating, and Tracking
				Defect Prevention
				Pre-test Defect Removal
				Test Defect Removal
			Stage 3: Continuous Improvements Forever
		Going Beyond Stage 3 into Formal Reuse Programs
		Summary and Conclusions
		References and Readings
	Chapter 10: Early Sizing and Estimating of Software Projects
		Introduction
			1950 to 1959
			1960 to 1969
			1970 to 1979
			1980 to 1989
			1990 to 1999
			2000 to 2010
		The State of the Art of Sizing and Estimating from 2010 to 2020
		Hazards of Older Metrics
		Metrics Used with Function Point Analysis
			Assignment Scope
			Cost per Function Point
			Defect Potentials
			Defect Removal Efficiency (DRE)
			Function Points per Month
			Production Rate
			Requirements Creep
			Work Hours per Function Point
		Application Sizing Using Pattern Matching
		Early Risk Analysis
		Lifetime Sizing with Software Risk Master™
		Economic Modeling with Software Risk Master
		The Future of Sizing and Estimating Software with Function Points
		Summary and Conclusions
		References and Readings
		Additional Literature
	Chapter 11: Optimizing Software Defect Removal Efficiency (DRE)
		Introduction
		Summary and Conclusions
		Introduction
			Project Management Tools
			Software Engineering Tools
			Software Maintenance Engineering Tools
			Software Quality Assurance Tools
			Software Testing and Static Analysis Tools
			Software Documentation Tools
			Commercial Tools
		Performance of Lagging, Average, and Leading Projects
			Average Software Projects
			Leading Software Projects
			Lagging Software Projects
		A Taxonomy of Software Tool Classes
			Project Management Tools
			Software Engineering Tools
			Software Maintenance Engineering Tools
			Software Quality Assurance Tools
			Software Testing and Static Analysis Tools
			Software Documentation Tools
		References and Readings
	Chapter 12: Tool Usage on Best-Case, Average, and Worst-Case Projects
		Project Management Tools on Lagging and Leading Projects
		Software Engineering Tools on Lagging and Leading Projects
		Software Maintenance Engineering Tools on Lagging and Leading Projects
		Software Quality Assurance Tools on Lagging and Leading Projects
		Software Testing Tools on Lagging and Leading Projects
		Software Documentation Tools on Lagging and Leading Projects
		Overall Tool Differences between Laggards and Leaders
		Summary and Conclusions
		References and Readings
	Chapter 13: Geriatric Care for Aging Software
		Introduction
		What Is Software Maintenance?
			Geriatric Problems of Aging Software
		Metrics Problems with Small Maintenance Projects
			Metrics Problems with ERP Maintenance
		Best and Worst Practices in Software Maintenance
			Methodologies That Are Maintenance-Strong and Maintenance-Weak
			Customer Support: A Major Maintenance Weakness
		Software Entropy and Total Cost of Ownership
		Summary and Conclusions
		References and Books by Capers Jones That Discuss Software Maintenance
		Books by Additional Authors
		Readings on Software Maintenance
	Chapter 14: Function Points as a Universal Metric
		Introduction
			The Strengths of Function Point Metrics
			The Weaknesses of Function Point Metrics
		A New Method for High-SpeedFunction Point Analysis
		A Short Summary of Pattern Matching
		Increasing Executive Awareness of Function Points for Economic Studies
		Topic 1: Sizing Application Growth during Development and After Release
		Topic 2: Predicting Application Size in Multiple Metrics
		Topic 3: Sizing All Known Types of Software Application
		Topic 4: Function Points for Early Analysis of Software Risks
		Topic 5: Function Points for Activity-BasedSizing and Cost Estimating
		Topic 6: Function Points and Methodology Analysis
		Topic 7: Function Points for Evaluating the Capability Maturity Model (CMMI ®)
		Topic 8: Function Points for Software Quality Analysis
		Topic 9: Function Points and Software Maintenance, Enhancements, and Total Cost of Ownership (TCO)
		Topic 10: Function Points and Forensic Analysis of Canceled Projects
		Topic 11: Portfolio Analysis with Function Point Metrics
		Topic 12: Industry Studies Using Function Point Metrics
		Topic 13: Global Studies Using Function Point Analysis
		Topic 14: Function Points versus Lines of Code (LOC) for Software Economic Analysis
		Topic 15: Function Points and Software Usage and Consumption
		Patterns of Tools Noted on Successful Software Projects
		Patterns of Tools Noted on Unsuccessful Projects
		Topic 16: Function Points and Software Outsource Contracts
		Suggested Format for Monthly Status Reports for Software Projects
		Topic 17: Function Points and Venture Funding of Software Startups
		Topic 18: Function Points for Analysis of Software Occupation Groups
		Topic 19: Data Used by Fortune 500 C-LevelExecutives
		Topic 20: Combining Function Points with Other Metrics
		Function Points and Defect Removal Efficiency (DRE)
		Function Points and Natural Metrics such as “Document Pages”
		Function Points and Goal Question Metrics (GQM)
		Function Points and Earned Value Analysis (EVA)
		Function Points, Story Points, and Velocity on Agile Projects
		Function Points and Return on Investment (ROI)
			Case 1: Software Improves Operational Performance
			Case 2: Software Generates Direct and Indirect Revenues Streams
		Summary and Conclusions
		References and Readings
		Additional Literature
Index