Beyond Agile: NLP-Driven Quality Attributes Retrieval Using ChatGPT in Software Development Strategies

This study explores Agile Software Development (ASD) methodologies' effectiveness in achieving quality software products. It investigates the underexplored application of ChatGPT as a Quality Attribute Extractor in ASD. Utilizing hard prompt techniques, ChatGPT extracts quality attributes from user stories without fine-tuning, enhancing understanding through few-shot and zero-shot Prompt Engineering. This innovative approach bridges NLP advancements with agile methodologies, facilitating efficient quality assessment in software development processes.