SOFTWARE DEVELOPMENT USING NEURAL NETWORKS

The article examines the influence of neural networks on software development and testing processes. The main benefits of automation are discussed, such as faster error detection and shorter time to market. Neural networks, including transformers and deep neural networks, are used for automatic code generation, autocompletion and refactoring. Their role in automating testing, including test generation and code coverage analysis is also discussed. Despite the existing limitations, such as the complexity of configuration and dependence on data quality, the use of neural networks opens new horizons for improving the efficiency of development and improving the quality of the final product.