Realization of the Neural Network Model of Prediction of the Software Project Characteristics for Evaluating the Success of Its Implementation

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dc.contributor.authorHovorushchenko, Tetiana
dc.contributor.authorKrasiy, Andriy
dc.date.accessioned2015-09-29T19:32:19Z
dc.date.available2015-09-29T19:32:19Z
dc.date.issued2015
dc.description.abstractThis 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.uk_UA
dc.identifier.citationPresentation on the 2015 IEEE 8-th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS-2015), Warsaw, Poland, 24-26.09.2015uk_UA
dc.identifier.urihttps://elar.khmnu.edu.ua/handle/123456789/4203
dc.language.isoenuk_UA
dc.subjectsoftware requirements specification (SRS)uk_UA
dc.subjectsoftware projectuk_UA
dc.subjectsuccess of project implementationuk_UA
dc.subjectsoftware project characteristicsuk_UA
dc.subjectneuronet model of software project characteristics prediction based on analysis of SRSuk_UA
dc.titleRealization of the Neural Network Model of Prediction of the Software Project Characteristics for Evaluating the Success of Its Implementationuk_UA
dc.typeПрезентаціяuk_UA
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