Leveraging LLMs for the Quality Assurance of Software Requirements
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Abstract (arXiv)
Successful software projects depend on the quality of software requirements. Creating high-quality requirements is a crucial step toward successful software development. Effective support in this area can significantly reduce development costs and enhance the software quality. In this paper, we introduce and assess the capabilities of a Large Language Model (LLM) to evaluate the quality characteristics of software requirements according to the ISO 29148 standard. We aim to further improve the support of stakeholders engaged in requirements engineering (RE). We show how an LLM can assess requirements, explain its decision-making process, and examine its capacity to propose improved versions of requirements. We conduct a study with software engineers to validate our approach. Our findings emphasize the potential of LLMs for improving the quality of software requirements.
Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Aug 2024.
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Citing papers per year: 2025: 10; 2026: 5.
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- 2025Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scalecited by 3
- 2025Can LLMs Generate User Stories and Assess Their Quality?cited by 2
- 2025A Case Study Investigating the Role of Generative AI in Quality Evaluations of Epics in Agile Software Developmentcited by 1
- 2025A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standardscited by 1
- 2025U2F: Encouraging SWE-Agent to Seize Novelty without Losing Feasibilitycited by 1
- 2025OLAF: Towards Robust LLM-Based Annotation Framework in Empirical Software Engineeringcited by 1
- 2026An Interactive Agent for Requirement-Driven Candidate Sourcingcited by 1
- 2025LLM assisted web application functional requirements generation: A case study of four popular LLMs over a Mess Management Systemcited by 0
- 2025Generating Privacy Stories From Software Documentationcited by 0
- 2025evalSmarT: An LLM-Based Framework for Evaluating Smart Contract Generated Commentscited by 0
- 2025The Software Engineering Simulations Lab: Agentic AI for RE Quality Simulationscited by 0
- 2026DeepQuali: Initial results of a study on the use of large language models for assessing the quality of user storiescited by 0
3 more
- 2026Who Does What? Archetypes of Roles Assigned to LLMs During Human-AI Decision-Makingcited by 0
- 2026Iterative Audit Convergence in LLM-Managed Multi-Agent Systems: A Case Study in Prompt-Engineering Quality Assurancecited by 0
- 2026Beyond Text Matching: Towards Reference-Free Evaluation for Human-Oriented Binary Reverse Engineeringcited by 0
- 2026An Interactive Agent for Requirement-Driven Candidate Sourcing24 Aug 2026
- 2026Beyond Text Matching: Towards Reference-Free Evaluation for Human-Oriented Binary Reverse Engineering7 Aug 2026
- 2026Iterative Audit Convergence in LLM-Managed Multi-Agent Systems: A Case Study in Prompt-Engineering Quality Assurance12 May 2026
- 2026Who Does What? Archetypes of Roles Assigned to LLMs During Human-AI Decision-Making12 Feb 2026
- 2026DeepQuali: Initial results of a study on the use of large language models for assessing the quality of user stories9 Feb 2026
- 2025OLAF: Towards Robust LLM-Based Annotation Framework in Empirical Software Engineering17 Dec 2025
- 2025The Software Engineering Simulations Lab: Agentic AI for RE Quality Simulations21 Nov 2025
- 2025U2F: Encouraging SWE-Agent to Seize Novelty without Losing Feasibility5 Nov 2025
- 2025evalSmarT: An LLM-Based Framework for Evaluating Smart Contract Generated Comments28 Jul 2025
- 2025Can LLMs Generate User Stories and Assess Their Quality?20 Jul 2025
- 2025Generating Privacy Stories From Software Documentation28 Jun 2025
- 2025LLM assisted web application functional requirements generation: A case study of four popular LLMs over a Mess Management System23 May 2025
3 more
- 2025A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards19 May 2025
- 2025A Case Study Investigating the Role of Generative AI in Quality Evaluations of Epics in Agile Software Development12 May 2025
- 2025Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scale12 Apr 2025
- 2025U2F: Encouraging SWE-Agent to Seize Novelty without Losing Feasibilitycited by 1
- 2026An Interactive Agent for Requirement-Driven Candidate Sourcingcited by 1
- 2025The Software Engineering Simulations Lab: Agentic AI for RE Quality Simulationscited by 0
- 2026Iterative Audit Convergence in LLM-Managed Multi-Agent Systems: A Case Study in Prompt-Engineering Quality Assurancecited by 0
- 2026An Interactive Agent for Requirement-Driven Candidate Sourcing24 Aug 2026
- 2026Iterative Audit Convergence in LLM-Managed Multi-Agent Systems: A Case Study in Prompt-Engineering Quality Assurance12 May 2026
- 2025The Software Engineering Simulations Lab: Agentic AI for RE Quality Simulations21 Nov 2025
- 2025U2F: Encouraging SWE-Agent to Seize Novelty without Losing Feasibility5 Nov 2025
- 2025Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scalecited by 3
- 2025Can LLMs Generate User Stories and Assess Their Quality?cited by 2
- 2025A Case Study Investigating the Role of Generative AI in Quality Evaluations of Epics in Agile Software Developmentcited by 1
- 2025A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standardscited by 1
- 2025OLAF: Towards Robust LLM-Based Annotation Framework in Empirical Software Engineeringcited by 1
- 2025LLM assisted web application functional requirements generation: A case study of four popular LLMs over a Mess Management Systemcited by 0
- 2025Generating Privacy Stories From Software Documentationcited by 0
- 2025evalSmarT: An LLM-Based Framework for Evaluating Smart Contract Generated Commentscited by 0
- 2026DeepQuali: Initial results of a study on the use of large language models for assessing the quality of user storiescited by 0
- 2026Who Does What? Archetypes of Roles Assigned to LLMs During Human-AI Decision-Makingcited by 0
- 2026Beyond Text Matching: Towards Reference-Free Evaluation for Human-Oriented Binary Reverse Engineeringcited by 0
- 2026Beyond Text Matching: Towards Reference-Free Evaluation for Human-Oriented Binary Reverse Engineering7 Aug 2026
- 2026Who Does What? Archetypes of Roles Assigned to LLMs During Human-AI Decision-Making12 Feb 2026
- 2026DeepQuali: Initial results of a study on the use of large language models for assessing the quality of user stories9 Feb 2026
- 2025OLAF: Towards Robust LLM-Based Annotation Framework in Empirical Software Engineering17 Dec 2025
- 2025evalSmarT: An LLM-Based Framework for Evaluating Smart Contract Generated Comments28 Jul 2025
- 2025Can LLMs Generate User Stories and Assess Their Quality?20 Jul 2025
- 2025Generating Privacy Stories From Software Documentation28 Jun 2025
- 2025LLM assisted web application functional requirements generation: A case study of four popular LLMs over a Mess Management System23 May 2025
- 2025A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards19 May 2025
- 2025A Case Study Investigating the Role of Generative AI in Quality Evaluations of Epics in Agile Software Development12 May 2025
- 2025Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scale12 Apr 2025