Overview of Artificial Intelligence Application Methods in Software Development

Abstract

The study aimed to analyse modern approaches to the integration of artificial intelligence into the software development process to optimise workflows and improve the quality of end products. The study analysed existing research and practical examples of artificial intelligence applications at different stages of the software life cycle. The study covered the automation of key tasks such as requirements analysis, design, code creation and testing, as well as project management and support of software systems. The study results demonstrated that the use of artificial intelligence, in particular machine learning models and deep neural networks, can significantly reduce development time and costs by automating routine tasks such as code generation and test scenarios. It also helps to improve product quality by automatically detecting defects and predicting potential points of failure, which ensures more stable software operation. In addition, the use of artificial intelligence improves project management, including more accurate timeline planning, resource allocation, and risk management, which improves the efficiency of the organisation of development teams. The study also analysed the optimisation of communication between developers and stakeholders by applying natural language processing techniques to analyse requirements, which reduces the probability of errors in specifications and helps to create better products. In addition, the study addressed the prospects of using artificial intelligence in the processes of continuous integration and delivery, as well as in real-time monitoring of software performance, which contributes to the proactive detection of possible failures and rapid response to them. Recommendations on the effective use of artificial intelligence to automate and optimise the software development process were provided. This will help minimise risks, improve the cost-effectiveness of projects and support the development of intelligent systems that can adapt to changes.