Deep Learning Approach To Predict Software Development Life Cycle Model
Jainam Dhami, Nishant Dave, Onkar Bagwe, Abhijit R. Joshi, Prachi Tawde · 2021
The Software Development Life Cycle (SDLC) is a well-defined, methodical procedure for developing software that prioritizes quality. It consists of a variety of models to choose from, which differentiate among themselves in multiple ways. As a project developer, one has to choose a particular model from these SDLC models according to the forthcoming software’s requirements. This initiates a need for choosing the most appropriate model for the development of the software, so as to streamline the entire software building process, adhering to the model’s defined guidelines and its timeline. This paper presents a deep learning-based approach that automates the SDLC model selection process by recommending the most appropriate SDLC model as per the users’ requirements.