Neural Network Estimation Model to Optimize Timing and Schedule of Software Projects
Mohamed A. Hamada, Abdelrahman Abdallah, Mahmoud SalahEldin Kasem, Mohamed Abokhalil
20212021 IEEE International Conference on Smart Information Systems and Technologies (SIST)20 citationsDOI
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.
Topics & Concepts
ScheduleComputer scienceArtificial neural networkSoftwareEarned value managementScheduling (production processes)Software project managementEstimationProject managementSoftware developmentReliability engineeringMachine learningProject planningSoftware constructionSystems engineeringEngineeringOperating systemProject charterOperations managementSoftware Engineering ResearchSoftware Engineering Techniques and PracticesSoftware Reliability and Analysis Research