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Function points analysis
Function point analysis is a method of estimating the size of a software application based on the number and complexity of inputs, outputs, inquiries, internal logical files, and external interface files. The document outlines the process for counting function points, which involves identifying the different types of components, determining the unadjusted function point count, assessing value adjustment factors, and calculating the adjusted function point count. Function point analysis provides a standardized, technology-independent way to measure and estimate software size that allows for more accurate comparisons of projects.
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Function points analysis
- 1. Description of Function PointAnalysis
- 2. Agenda Introduction Whatis a Function Points? How to count Function Points? Why use Function Points? Summary
- 3. Introduction Importance ofsoftware measurement Main methods of software measurement: Function Points LOC (Lines of Code) Wideband-Delphi methodWideband-Delphi method Fuzzy-logic methodFuzzy-logic method Probe method Standard component ……
- 4. What is aFunction Points? The history of Function Points: Introduced by Allan Albrecht (IBM) Inherited by IFPUG (International Function Points Users’ Group)
- 5. What is aFunction Points?(2) FP are a unit measure for software Easy to understand the size of software Easy to predict the cost of software Easy to plan the schedule of software
- 6. What is aFunction Points?(3) 5 basic elements of Function points EI: External Input EO: External Output EQ: External Query ILF: Internal Logic File EIF: External Interface File
- 7. How to countFunction Points? 7 steps to count Function Points Determine the type of Count Identify Counting Scope and Application Boundary Count Data Functions Count Transactional Functions Determine Unadjusted Function Point Count Determine Value Adjustment Factor Calculate Adjusted Function Point Count
- 8. Determine the typeof Count Ultimate functions the developers provide Functions to update the existed software Functions to use and maintain software
- 9. Identify Counting Scopeand Application
- 10. Count Data Functions Two types of Data Functions Internal logic File Logical group of data maintained by the application (e.g., Employee file) External Interface File Logical group of data referenced but not maintained (e.g., Global state table)
- 11. Count Transactional Functions Three types of Transactional Functions External Input Maintains ILF or passes control data into the application External Output Formatted data sent out of application with added value (e.g. ,calculated totals) External Inquiry Formatted data sent out of application without added value
- 12. Determine Unadjusted FunctionPoint Count
- 13. Determine Value AdjustmentFactor 14 Value Adjustment Factors Data communication Distributed data processing Performance Heavily used configuration Transaction rate Online data input End user efficiency
- 14. Determine Value Adjustment Factor(2) 14 Value Adjustment Factors Online update Complex processing Reusability Installation ease Operational ease Multiple sites Facilitate change
- 15. Determine Value Adjustment Factor(3) Based on the 14 general system characteristics ,get the Value Adjustment Factor (VAF)
- 16. Calculate Adjusted FunctionPoint Count FP = UFP * VAF The ultimate Function Points are determined by Unadjusted Function Points and the Value Adjusted Function Point
- 17. Why use FunctionPoints? Technology Independence Consistency and Repeatability Data Normalization Estimating and Comparing Scope and Expectations
- 18. Summary Introduction Whatis a Function Points? How to count Function Points? Why use Function Points?