Title: Dynamic software management practices using genetically augmented neural networks
Authors: Jasem M. Alostad
Addresses: College of Basic Education, The Public Authority of Applied Education and Training (PAAET), P.O. Box, 23167, Safat 13092, Kuwait
Abstract: The aim of research is to investigate real time projects and the utilisation of Ppc software packages for educational institutions. The main motivation behind the study is to resolve the scheduling problem in Ppc software projects, which is considered useful for students' curriculum. The scheduling problem is been a prominent issue in software projects, which creates a trade-off between project duration and skills. Hence, this work removes the trade-off between project duration and skills using genetic augmented neural network algorithm (GANN). The process runs in a structured way to obtain a better solution in software project duration over education sector. The result with GANN over software validation seems flexible and accurate and can work as a flexible tool for automated software management practices.
Keywords: project scheduling; educational sector; genetic neural network algorithm; software project management.
International Journal of Internet Technology and Secured Transactions, 2020 Vol.10 No.3, pp.322 - 336
Received: 11 Apr 2018
Accepted: 31 May 2018
Published online: 04 May 2020 *