Reliability of function points measurement: a field experiment
Communications of the ACM
Measuring the software process: a practical guide to functional measurements
Measuring the software process: a practical guide to functional measurements
Software assessments, benchmarks, and best practices
Software assessments, benchmarks, and best practices
Function point analysis: measurement practices for successful software projects
Function point analysis: measurement practices for successful software projects
Measures for Excellence: Reliable Software on Time, within Budget
Measures for Excellence: Reliable Software on Time, within Budget
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
Estimating Software-Intensive Systems: Projects, Products, and Processes (Sei Series in Software Engineering)
Estimating Software Costs
Practical Software Estimation: Function Point Methods for Insourced and Outsourced Projects (Infosys Press)
Software Measurement: Establish - Extract - Evaluate - Execute
Software Measurement: Establish - Extract - Evaluate - Execute
The IT Measurement Compendium: Estimating and Benchmarking Success with Functional Size Measurement
The IT Measurement Compendium: Estimating and Benchmarking Success with Functional Size Measurement
Software Process and Product Measurement: International Conferences IWSM 2008, Metrikon 2008, and Mensura 2008 Munich, Germany, November 18-19, 2008. Proceedings ... / Programming and Software Engineering)
The Economics of Software Quality
The Economics of Software Quality
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Function point metrics are the most accurate and effective metrics yet developed for software sizing and also for studying software productivity, quality, costs, risks, and economic value. Unlike the older "lines of code" metric function points can be used to study requirements, design, and in fact all software activities from development through maintenance. In the future function point metrics can easily become a universal metric used for all software applications and for all software contracts in all countries. The government of Brazil already requires function points for all software contracts, and South Korea and Italy may soon follow. However, there are some logistical problems with function point metrics that need to be understood and overcome in order for function point metrics to become the primary metric for software economic analysis. Manual function point counting is too slow and costly to be used on large software projects above 10,000 function points in size. Also, application size is not constant but grows at about 2% per calendar month during development and 8% or more per calendar year for as long as software is in active use. This paper discusses a method of high-speed function point counting that can size any application in less than two minutes, and which can predict application growth during development and for five years after release. This new method is based on pattern matching and is covered by U.S. utility patent application and hence is patent pending.