Prediction of software project effort using fuzzy logic
2011
Software development effort estimation is a branch of forecasting that has received increased interest in academia as well as in the field of research and development. Predicting software effort with any acceptable degree remains challenging. In this paper we have developed 2 different linear regression models using fuzzy function point (FFP) and non fuzzy function point in order to predict the software project effort and further we have also considered that the entire projects are organic in nature i.e. the project size lies between 2 to 50 KLOC. After obtaining the software effort, project manager can control the cost and ensures the quality more accurately.
Keywords:
- Reliability engineering
- Software development effort estimation
- Software construction
- Software development process
- Software metric
- Software verification and validation
- Software development
- Software sizing
- Analysis effort method
- Data mining
- Computer science
- Software quality
- Industrial engineering
- Artificial intelligence
- Machine learning
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