Neural Network Estimation Model to Optimize Timing and Schedule of Software Projects

Faculty of Computers and Information

Assiut University

Neural Network Estimation Model to Optimize Timing and Schedule of Software Projects

Research Authors
Mohamed A. Hamada, Abdelrahman Abdallah, Mahmoud Kasem, Mohamed Abokhalil
Research Date
Research Department
Information Technology Department
Research File
Neural Network Estimation Model to Optimize Timing and Schedule of Software Projects.pdf
Research Journal
2021 IEEE Smart Information Systems and Technologies (SIST), DOI: 10.1109/SIST50301.2021.9465887
Research Member
Mohamed Hamdy Hamdan Mahmoud
Mahmoud Salah Eldin Mohammed
abdoelsayed2016
Research Publisher
IEEE
Research Website
10.1109/SIST50301.2021.9465887
Research Year
2021
Research_Pages
7
Research Abstract

Software projects have a probability of high failure rates that appear to linger around 60% for significant IT projects. Estimating time and project schedule are crucial tasks and extremely influence the project outcomes. Artificial Intelligence now can provide multiple solutions for most problems of software projects. This article aims to develop a Neural Network estimation model to manipulate the problem of timing for software projects. The model can predict the estimation value of project time which optimizes the scheduling process, the developed model achieved high accuracy after testing through the test datasets.