40 citations
22 papers
Test Case Generation from Bug Reports via Large Language Models: A Cognitive Layered Evaluation Framework
Irtaza Sajid Qureshi, Zhen Ming, Jiang
Large Language Models (LLMs) are increasingly applied to automated software testing, yet their ability to generalize beyond memorized patterns and reason about natural language bug…
BloomAPR: A Bloom's Taxonomy-based Framework for Assessing the Capabilities of LLM-Powered APR Solutions
Yinghang Ma, Jiho Shin, Leuson Da Silva +5
Recent advances in large language models (LLMs) have accelerated the development of AI-driven automated program repair (APR) solutions. However, these solutions are typically evalu…
A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights
Zhili Zeng, Kimya Khakzad Shahandashti, Alvine Boaye Belle +3
The rapid advancement of mobile applications has led to a significant demand for cross-platform compatibility, particularly between the Android and iOS platforms. Traditional appro…
The Geography of Transportation Cybersecurity: Visitor Flows, Industry Clusters, and Spatial Dynamics
Yuhao Wang, Kailai Wang, Songhua Hu +4
The rapid evolution of the transportation cybersecurity ecosystem, encompassing cybersecurity, automotive, and transportation and logistics sectors, will lead to the formation of d…
Predicting post-release defects with knowledge units (KUs) of programming languages: an empirical study
Md Ahasanuzzaman, Gustavo A. Oliva, Ahmed E. Hassan +2
Defect prediction plays a crucial role in software engineering, enabling developers to identify defect-prone code and improve software quality. While extensive research has focused…
Checker Bug Detection and Repair in Deep Learning Libraries
Nima Shiri Harzevili, Mohammad Mahdi Mohajer, Jiho Shin +8
Checker bugs in Deep Learning (DL) libraries are critical yet not well-explored. These bugs are often concealed in the input validation and error-checking code of DL libraries and…