Dynamic Software Management practices using Genetically Augmented Neural Networks

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.