[3Win5-61] Application of Large Language Models to Quality Inspection Based on a Software Requirements Specification Metamodel
Keywords:Large language model, Requirements Engineering, SRS Quality Characteristics
The quality inspection of requirement specifications for software products is quite important for reducing development costs and maintaining product quality in the development process.
Currently, this task is performed manually, which requires significant effort and has risks to make oversights and errors.
To address these issues, we utilize large language models in conjunction with a predefined metamodel of software requirements specification to structure the content of a given requirement specification into a knowledge graph and assess its semantic quality.
We report on the results of evaluating the effectiveness of the proposed approach by applying it to actual requirement specifications and comparing them with the results of manual quality inspection.
Currently, this task is performed manually, which requires significant effort and has risks to make oversights and errors.
To address these issues, we utilize large language models in conjunction with a predefined metamodel of software requirements specification to structure the content of a given requirement specification into a knowledge graph and assess its semantic quality.
We report on the results of evaluating the effectiveness of the proposed approach by applying it to actual requirement specifications and comparing them with the results of manual quality inspection.
Authentication for paper PDF access
A password is required to view paper PDFs. If you are a registered participant, please log on the site from Participant Log In.
You could view the PDF with entering the PDF viewing password bellow.