Development of an Algorithm for Automatic Code Review and Search for Errors in Source Code Using the Transformer Deep Learning Architecture

The paper presents a description of an approach for automatic program code review. The developed approach is based on the assumption of efficiency of using natural language processing (NLP) methods for analyzing program code and neural network transformer model. A software system that implements the proposed approach is developed. The results of experiments on program code review and problem search of several large projects are also given. The results of the experiments have shown the applicability and effectiveness of the proposed approach.