Title :
Realization of the neural network model of prediction of the software project characteristics for evaluating the success of its implementation
Author :
Tetiana Hovorushchenko;Andriy Krasiy
Author_Institution :
Department System Programming, Khmelnitsky National University, 11 Institutska str., Khmelnitsky 29016, Ukraine
Abstract :
This paper proves the dependence of successful of software project implementation on the software requirements specification (SRS), the actuality and importance of the skill to evaluate the possible success of software project based on the specifications. The neural network model of prediction of the software project characteristics for evaluating the success of its implementation based on analysis of specifications is first time proposed and implemented in Matlab.
Keywords :
"Software","Artificial neural networks","Neurons","Training","Biological neural networks","Mathematical model","Predictive models"
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2015 IEEE 8th International Conference on
Print_ISBN :
978-1-4673-8359-2
DOI :
10.1109/IDAACS.2015.7340756