Requirement Engineering

Requirements engineering (RE) focuses on systematically defining and managing the needs of a system under development, ensuring alignment with user expectations and technical feasibility. Current research emphasizes automating RE tasks, particularly requirements elicitation and analysis, using natural language processing (NLP) techniques and large language models (LLMs) like GPT, along with machine learning algorithms such as Support Vector Machines and LSTMs. This automation aims to improve efficiency and reduce ambiguity in software development, particularly for complex systems like those incorporating artificial intelligence, while also addressing ethical considerations and regulatory compliance. The resulting advancements have significant implications for software quality, development speed, and the responsible deployment of AI-powered systems.