An Interdisciplinary Study of Fuzzy AHP Model for Prioritizing Agile Cost Overhead and Infusion of Machine Learning

In the recent era, most of the software industries are using Agile as a software development process. These industries are using different flavors of Agile Methodology (like-Scrum, Kanban, XP, Lean, SAFe, etc). While practicing Agile methodologies; planning, prioritization and cost overhead estimation are big challenges faced by different stakeholders. Estimating costs and creating budgets are essential components of the project management process. There exists a requirement to focus on factors which are helpful for cost optimization. In other hand a process of Fuzzy Analytic Hierarchy (FAHP) operates on the theory of ‘Fuzzy Set’. It can be applied on the Agile Software Development (ASD) process. This article reviews the existing fuzzy based Analytical Hierarchy Process (AHP) for Cost Overheads Prioritization and infusion of Machine Learning. The fact is the integration of machine learning algorithms within these systems remains unexplored as of present times.