Paper Key : IRJ************392
Author: Aniruddha Sonawane,Tejas Bhosale,Siddhi Retharekar
Date Published: 24 Oct 2023
Abstract
In the rapidly evolving landscape of software development, bridging the gap between software requirements and implementation remains a critical challenge. This research paper explores applying Artificial Intelligence (AI) and Machine Learning (ML) techniques to automate the process of generating pseudo-code from natural language text. The proposed approach harnesses the power of deep learning models, such as Transformers, and leverages vast text corpora for training to facilitate accurate and context-aware pseudo-code generation.
DOI LINK : 10.56726/IRJMETS45500 https://www.doi.org/10.56726/IRJMETS45500