Quantifying Software
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Quantifying Software: Global and Industry Perspectives

Quantifying Software: Global and Industry Perspectives

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About the Book

Software is one of the most important products in human history and is widely used by all industries and all countries. It is also one of the most expensive and labor-intensive products in human history. Software also has very poor quality that has caused many major disasters and wasted many millions of dollars. Software is also the target of frequent and increasingly serious cyber-attacks. Among the reasons for these software problems is a chronic lack of reliable quantified data. This reference provides quantified data from many countries and many industries based on about 26,000 projects developed using a variety of methodologies and team experience levels. The data has been gathered between 1970 and 2017, so interesting historical trends are available. Since current average software productivity and quality results are suboptimal, this book focuses on "best in class" results and shows not only quantified quality and productivity data from best-in-class organizations, but also the technology stacks used to achieve best-in-class results. The overall goal of this book is to encourage the adoption of best-in-class software metrics and best-in-class technology stacks. It does so by providing current data on average software schedules, effort, costs, and quality for several industries and countries. Because productivity and quality vary by technology and size, the book presents quantitative results for applications between 100 function points and 100,000 function points. It shows quality results using defect potential and DRE metrics because the number one cost driver for software is finding and fixing bugs. The book presents data on cost of quality for software projects and discusses technical debt, but that metric is not standardized. Finally, the book includes some data on three years of software maintenance and enhancements as well as some data on total cost of ownership.

Table of Contents:
1. Introduction to Quantifying Software Results Software Revenue Generation Operating Cost Reductions Market Expansion. 2. The Origin and Evolution of Function Point Metrics. The Origins of Function Point Metrics at IBM New and Old Function Point Business Models The Costs and Limitations of Standard Function Point Metrics Expanding the Role and Advancing the Start Time of Function Point Analysis The Current Business Model of Function Point Analysis in the United States. A New Business Model for Function Point Analysis The Hazards and Errors of LOC Metrics A Short History of LOC Metrics The Hazards and Errors of the Cost per Defect Metric The Hazards of Multiple Metrics without Conversion Rules Extending Function Point Logic into New Domains Potential Expansion of Function Points to Other Business Topics Example of Multi-Metric Software Economic Analysis The Probable Effort and Skill Sets to Create Additional Metrics Size and Cost Growth over Multiple-Year periods 3. Software Information Needed by Corporate Executives Answers to the 60 Software Questions Primary Software Metrics for High Precision Supplemental Software Metrics for High Precision Answers to the Current "Hot Topic" Questions Answers to the Security, Quality, and Governance Questions Answers to the Software Usage, Value, and User Satisfaction Questions Answers to the Employee Satisfaction and Demographic Questions Answers to the Software Economic Impact Questions Answers to the Competitive Analysis Questions Twenty-Five Quantitative Software Engineering Targets Technologies Useful in Achieving Software Engineering Goals Six Hazardous Software Engineering Methods to be Avoided 4. Metrics to Solve Problems and Improve Software Engineering Quality and Productivity Reducing Software Wastage Reuse of Certified Materials for Software Projects Achieving Excellence in Software Quality Control Excellent Quality Control Average Quality Control Poor Quality Control Metrics to Improve Software Quality Software Quality and Software Security Software Quality and Technical Debt SNAP Metrics for Nonfunctional Size Economic Value of High Software Quality A Primer on Manufacturing Economics and the Impact of Fixed Costs Software’s Lack of Accurate Data and Poor Education on Quality and Cost of Quality Summary and Conclusions on Metrics for Problem-Solving Improving Software Project Management Tools and Training Project Management Knowledge Acquisition. The History of Software Project Management Tools Usage Patterns of Software Project Management Tools Recent Evolution of Software Project Management Tools The Costs and Value of Software Project Management Tools The Future of Software Project Management Tools 5. Measures, Metrics, and Management Improving Software Project Management Tools and Training Summary and Conclusions on Software Project Management 6. 50 Years of Global Software Benchmark Results Measuring U.S. Software Productivity and Quality Life Expectancy of Software Benchmark Data U.S. Software Benchmark Results Software Cost Drivers Phase-Based Costs versus Activity-Based Costs The Strange Mystery of Why Software Has 3000 Programming Languages U.S. Industry Work Hour Variations U.S. Industry Productivity and Quality Results circa 2017 Comparing Software Globally Topics that Cannot Be in Benchmarks due to Laws or Union Regulations Examples of Three Software Benchmarks Benchmark Section 0: Executive Summary Benchmark Section 1: Input Data Benchmark Section 2: Output Data Schedule, Effort, and Cost Benchmark Data Benchmark Section 3: Technology Stack Evaluation Benchmark Section 4: Topics Observed During Benchmark Process Benchmark Section 5: Maintenance, Enhancement, and Support Benchmarks 7. Advancing Software Benchmark Technology Synthetic Benchmarks Using Parametric Estimation to Improve Speed and Accuracy Measuring Brand New Tools, Methods, and Programming Languages Executive Interest Levels in Software Benchmark Types Software Benchmark Providers


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Product Details
  • ISBN-13: 9781351176354
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: Auerbach
  • Language: English
  • No of Pages: 533
  • ISBN-10: 1351176358
  • Publisher Date: 24 Oct 2017
  • Binding: Digital (delivered electronically)
  • No of Pages: 533
  • Sub Title: Global and Industry Perspectives


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