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An Empirical Validation of an Automated Genetic Software Effort Prediction Framework Using the ISBSG Dataset
(2016-04)
The complexity of providing accurate software
effort prediction models is well known in the software industry. Several
prediction models have been proposed in the literature using different
techniques, with different ...
COSMIC Base Functional Components in Functional Size Based Effort Estimation Models
(2016-11-09)
Software effort estimation models has been an area of considerable research for many years and it is still a challenge for software engineering. Although Functional Size Measurement (FSM) methods have become widely used, ...
An empirical evaluation of NASA-MDP data sets using a genetic defect-proneness prediction framework
(2016-11-09)
In software engineering, software quality is an important
research area. Automated generation of learning schemes
plays an important role and represents an efficient way to detect
defects in software projects, thus ...
A genetic algorithm based framework for software effort prediction
(2017)
Background: Several prediction models have been proposed in the literature using different techniques obtaining different results in different contexts. The need for accurate effort predictions for projects is one of the ...