Realization of the Neural Network Model of Prediction of the Software Project Characteristics for Evaluating the Success of Its Implementation
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Дата
2015
Автори
Hovorushchenko, Tetiana
Krasiy, Andriy
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Анотація
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.
Опис
Ключові слова
software requirements specification (SRS), software project, success of project implementation, software project characteristics, neuronet model of software project characteristics prediction based on analysis of SRS
Бібліографічний опис
Presentation on the 2015 IEEE 8-th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS-2015), Warsaw, Poland, 24-26.09.2015