A Survey on Various Software Development Life Cycle Models along with Machine Learning Scope.

Information Technology is a power hub of resources with each passing day; as well, people's demand is increasing each day resulting in high demand for products and services, which leads to high expectation of delivery of services on time. The organizational strategy employs immense use of the internet and PC, providing a strong impact on competitors against the customers. Our approach here is primarily focused on reviewing a software Development Life Cycle (SDLC), starting from the development of software, management of the software, and these results in examining the development of the software through various models developed widely known as SDLC. Moreover, this review various existing SDLC models including the Agile model, Waterfall, V-shaped, Spiral Model, Waterfall Model and recent models like DevOps. This research review provides a critical analysis of these models along with a comparative analysis considering the various constraints. At last, this research review performs the review analysis of the integration of Machine Learning and SDLC model for the future research directions. [ABSTRACT FROM AUTHOR]