New Computational Intelligence Paradigm for Estimating the Software Project Effort

摘要: Recently, there are numerous techniques have been proposed to forecast and identify the software development effort; such prediction has a prominent impact on success of projects. The most common methods for estimating efforts that in literature are: line code (LOC)-based constructive cost model (COCOMO), function point- based regression (FP), neural network (NN), case-based reasoning (CBR). Recent research tended focus use points (FPs) efforts, however, precise estimation should not only consider FPs, which represent size software, but also include various elements environment its estimation. Therefore, main benefit this study is design analyze both environments recent cases. paper presents new intelligence paradigm scheme functional emphasizes elements. Both implementation learning process utilization networks as modeling investigate efficiency predicting efforts.