METHOD AND SYSTEM FOR INFERENCING LOGIC OUT OF AN APPLICATION SOURCE

The application source code generally does not have any uniformity, defined executional sequence or documented information on the underlying complexity. It varies based on the requirement, domain and from each developer to developer. The slightest mistake in analyzing/modifying it will have a huge impact for the existing functionalities and interfacing applications. A method and system for inferencing code logic out of an application source code has been provided. This starts with the conversion of the raw form of code into logically linked blocks. These logical blocks in-turn represent standard meaningful representation of the code logic and are processed into vectors. Further, the processed vectors are fed into pre-trained machine learning models from which the code logic is predicted. Further the system and method can also be extended to various other applications in application maintenance, aiding the SME, inducting a new resource, documentation etc.