LLMs and Software Quality Standards: A Survey
A recent investigation has explored the potential of Large Language Models (LLMs) to enhance Software Quality Assurance (SQA). Researchers examined how LLMs can automate critical tasks, including requirement analysis, code reviews, test generation, and compliance checks. The study aligns these AI methodologies with established quality frameworks like ISO/IEC standards and CMMI. The authors suggest that integrating AI can improve traditional SQA practices without compromising compliance or maturity standards. This research is available on arXiv under the identifier 2505.13766, showcasing the promise of AI in modernizing SQA processes.
Key facts
- Paper surveys LLM-based SQA methods and established standards.
- Standards covered: ISO/IEC 12207, ISO/IEC 25010, ISO/IEC 5055, ISO 9001/ISO/IEC 90003, CMMI, TMM.
- LLMs can automate requirement analysis, code review, test generation, compliance checks.
- Argues AI can augment traditional SQA while maintaining compliance.
- Published on arXiv with ID 2505.13766.
- First reviews foundational software quality standards.
Entities
Institutions
- arXiv