Project Management Predictive Framework
Date
2025-12-09
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
Project Planning is a critical phase in the software project management cycle. Traditional project management tools rely heavily on manual processes and do not provide accurate insights for the planning phase. This research focuses on developing an advanced software project management solution that utilises machine learning and AI technologies to enhance and provide accurate results. The system will automatically generate tasks from user stories, accurately estimate effort, budget, and identify risks. It also assesses team members' skills for an accurate task assignment and assignments and predicts infrastructure resource needs, suggesting cost-effective options to optimise resource use.
Description
Keywords
Budget Prediction, Human and Infrastructure Resource Allocation, Job Role Effort Estimation, Task Generation
Citation
S. Dasanya, K. Samarakoon, S. Perera, K. Tennakoon, B. Attanayaka and C. Kahandawaarachchi, "Project Management Predictive Framework," 2025 7th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 2025, pp. 1-6, doi: 10.1109/ICAC69156.2025.11361461.
