4 papers
QUARE: Quality-Aware Requirements Analysis through Multi-Agent Dialectical Negotiation
Haowei Cheng, Milhan Kim, Foutse Khomh +4
Automating requirements quality analysis remains challenging because multiple, often conflicting quality attributes must be balanced while preserving stakeholder intent. Existing L…
ArgRE: Formal Argumentation for Conflict Resolution in Multi-Agent Requirements Negotiation
Haowei Cheng, Milhan Kim, Chong Liu +6
As software systems grow in complexity, they must satisfy an increasing number of competing quality attributes, making it essential to balance them in a principled manner -- for ex…
Towards Human-interpretable Explanation in Code Clone Detection using LLM-based Post Hoc Explainer
Teeradaj Racharak, Chaiyong Ragkhitwetsagul, Chayanee Junplong +1
Recent studies highlight various machine learning (ML)-based techniques for code clone detection, which can be integrated into developer tools such as static code analysis. With th…
Test It Before You Trust It: Applying Software Testing for Trustworthy In-context Learning
Teeradaj Racharak, Chaiyong Ragkhitwetsagul, Chommakorn Sontesadisai +1
In-context learning (ICL) has emerged as a powerful capability of large language models (LLMs), enabling them to perform new tasks based on a few provided examples without explicit…