This study proposes using a directed artificial bee colony algorithm in order to tune the values of model parameters based on past actual effort. However, most approaches sharing a common thread of complex mathematical models face the difficulties in parameters calibration and tuning.
.W. BOEHM INTRODUCED COCOMO MODEL IN HIS BOOK SOFTWARE ENGINEERING ECONOMICS IN 1981 CO SOFTWARE
These models consider modeling software effort as a function of the size of the developed project. In this respect, estimation approaches based on algorithmic models have been widely used.
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There has been various alternatives introduced to enhance the accuracy in predictions. The results indicated that our proposal has significantly improved the performance of the estimations.Effective software effort estimation is one of the challenging tasks in software engineering. The proposed methods were verified with NASA software dataset and the obtained results were compared to the existing models in other literatures. Informatica is supported by: ACM Slovenia Slovenian Society for Pattern Recognition Slovenian Artificial Intelligence Society Slovenian Society for Cognitive Science Slovenian Society of Mathematicians, Physicists and Astronomers Automatic Control Society of Slovenia Slovenian Academy of Engineering International Federation for Information ProcessingĮffective software effort estimation is one of the challenging tasks in software engineering.
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