Scaled Agile Framework Implementation in Organizations', its Shortcomings and an AI Based Solution to Track Team's Performance

The beginning of the 21st century was the Software Enlargement Period, where software development methods were designed to create and deliver software to market under limited resources, time, and budget. The traditional Software Development Life Cycle (SDLC) created models like Waterfall Model, RAD model, etc. But this approach required extensive documentation, lacked customer involvement, and could not develop responsive software. Agile Software Development Methodology was created in 2001, which was flexible enough to adapt to changing requirements at later stages and encouraged better customer involvement. Scaled Agile Framework (SAFe) based on Agile Methodology follows repetition and increment approach to develop reliable, high quality, responsive and timely delivering software. This paper involves the description of Agile methodology and SAFe, problems in SAFe, and its solution by creating a machine learning model.