collaborators

21 papers

cs.SE2026

Can LLMs Test Terminal User Interfaces?

Chao Peng, Ruida Hu, Ajitha Rajan +4

Terminal User Interfaces (TUIs) combine the stateful, screen-oriented behaviour of GUIs with terminal deployment and are now common in developer tools. Yet they lack a dedicated te…

cs.SE2026

Unlocking LLM Repair Capabilities Through Cross-Language Translation and Multi-Agent Refinement

Wenqiang Luo, Jacky Wai Keung, Boyang Yang +4

Recent advances in leveraging LLMs for APR have demonstrated impressive capabilities in fixing software defects. However, current LLM-based approaches predominantly focus on mainst…

cs.SE2026

Large-scale, Independent and Comprehensive study of the power of LLMs for test case generation

Wendkûuni C. Ouédraogo, Kader Kaboré, Yinghua Li +5

Unit testing is essential for software reliability, yet manual test creation is time-consuming and often neglected. Search-based software testing improves efficiency but produces t…

cs.CL2026

Do Large Language Models Grasp The Grammar? Evidence from Grammar-Book-Guided Probing in Luxembourgish

Lujun Li, Yewei Song, Lama Sleem +7

Grammar refers to the system of rules that governs the structural organization and the semantic relations among linguistic units such as sentences, phrases, and words within a give…

cs.CR2026

Assessing Spear-Phishing Website Generation in Large Language Model Coding Agents

Tailia Malloy, Tegawende F. Bissyande

Large Language Models are expanding beyond being a tool humans use and into independent agents that can observe an environment, reason about solutions to problems, make changes tha…

cs.SE2026

Programming Language Confusion: When Code LLMs Can't Keep their Languages Straight

Micheline Bénédicte Moumoula, Serge Lionel Nikiema, Abdoul Kader Kabore +2

Large Language Models (LLMs) have achieved state-of-the-art performance across software engineering tasks, from code generation to translation. However, we identify and systematica…