Calibrating Function Points Using Neuro-Fuzzy Technique
This work addresses software cost estimation for the software industry, but it is incremental as it applies an existing hybrid method to a specific calibration task.
The paper tackled the problem of improving software effort estimation by calibrating Function Points using a Neuro-Fuzzy technique, resulting in a 22% improvement in estimation accuracy as validated on the ISBSG data repository.
The concepts of calibrating Function Points are discussed, whose aims are to fit specific software application, to reflect software industry trend, and to improve cost estimation. Neuro-Fuzzy is a technique which incorporates the learning ability from neural network and the ability to capture human knowledge from fuzzy logic. The empirical validation using ISBSG data repository Release 8 shows a 22% improvement in software effort estimation after calibration using Neuro-Fuzzy technique.