Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2859
Title: Project Zone : An Advanced Undergraduate Project Management System For Software Development
Authors: Amarasekara, T. N. E.
Isurindi, H. G. P.
Gamage, O. M.
Navanjana, E. H. D. T. D.
Samarakoon, U
Archchana, K
Keywords: Project Zone
Advanced Undergraduate
Project Management System
Software Development
Issue Date: 2-Dec-2021
Publisher: IEEE
Citation: T. N. E. Amarasekara, H. G. P. Isurindi, E. H. D. T. D. Navanjana, O. M. Gamage, U. Samarakoon and A. Kugathasan, "Project Zone : An Advanced Undergraduate Project Management System For Software Development," 2021 21st International Conference on Advances in ICT for Emerging Regions (ICter), 2021, pp. 183-188, doi: 10.1109/ICter53630.2021.9774820.
Series/Report no.: 2021 21st International Conference on Advances in ICT for Emerging Regions (ICter);
Abstract: Project Management System important in largescale projects. There are existing project management tools such as Redmine, Microsoft Project, Jira. Most of the existing project management systems only configured for general purposes such as Project Management, Task management, Time line management. None of them capable of generating project groups, track student progress or track client meetings. These functions are very helpful in tracking project progress as well as individual member progress. Hence, the purpose of this research is to introduce set of new features to a project management system with accurate and effective project management capabilities. This system is capable of generating project groups using student’s skills, Grade point average (GPA). Smart project tracking system where it uses project repositories and system generated timeline for the project. Using the project tracking system, Supervisors can manage groups remotely. Automatic peer review also added to identify each student’s contribution to the project and finally a client portal where clients can request solutions for their requirements and students can use them as their module project. Client meetings will be tracked using voice-to-text algorithm and also emotional recognition where it will identify client’s satisfaction. All These system modules will be used to calculate group performance.
URI: http://rda.sliit.lk/handle/123456789/2859
ISSN: 2472-7598
Appears in Collections:Department of Information Technology-Scopes
Research Papers - IEEE
Research Papers - SLIIT Staff Publications
Research Publications -Dept of Information Technology

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