75 citations · 80 across the 14 of their papers we have counts for
7 papers · 1 filter
Bridging the Interpretation Gap in Accessibility Testing: Empathetic and Legal-Aware Bug Report Generation via Large Language Models
Ryoya Koyama, Zhiyao Wang, Devi Karolita +2
Modern automated accessibility testing tools for mobile applications have significantly improved the detection of interface violations, yet their impact on remediation remains limi…
Automatic Syntax Error Repair for Discrete Controller Synthesis using Large Language Model
Yusei Ishimizu, Takuto Yamauchi, Sinan Chen +3
Discrete Controller Synthesis (DCS) is a powerful formal method for automatically generating specifications of discrete event systems. However, its practical adoption is often hind…
Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmap
Jialong Li, Mingyue Zhang, Nianyu Li +3
Self-adaptive systems (SASs) are designed to handle changes and uncertainties through a feedback loop with four core functionalities: monitoring, analyzing, planning, and execution…
SAGE: Semantic-Aware Gray-Box Game Regression Testing with Large Language Models
Jinyu Cai, Jialong Li, Nianyu Li +3
The rapid iteration cycles of modern live-service games make regression testing indispensable for maintaining quality and stability. However, existing regression testing approaches…
Large Language Models Synergize with Automated Machine Learning
Jinglue Xu, Jialong Li, Zhen Liu +5
Recently, program synthesis driven by large language models (LLMs) has become increasingly popular. However, program synthesis for machine learning (ML) tasks still poses significa…
Multi-role Consensus through LLMs Discussions for Vulnerability Detection
Zhenyu Mao, Jialong Li, Dongming Jin +2
Recent advancements in large language models (LLMs) have highlighted the potential for vulnerability detection, a crucial component of software quality assurance. Despite this prog…
Exploring the Potential of Large Language Models in Self-adaptive Systems
Jialong Li, Mingyue Zhang, Nianyu Li +3
Large Language Models (LLMs), with their abilities in knowledge acquisition and reasoning, can potentially enhance the various aspects of Self-adaptive Systems (SAS). Yet, the pote…