12 citations · 25 across the 14 of their papers we have counts for
16 papers
Security and Privacy Taxonomy Generation from Mobile App Reviews
Moghis Fereidouni, Vinaik Chhetri, Krishna Upadhyay +2
Mobile app reviews are a rich, continuously renewing source of how users experience privacy and security, yet existing taxonomies of these concerns are hand-crafted and cannot keep…
RECON: An LLM-Enhanced Backward Constraint Analysis Framework
Babangida Bappah, Lamine Noureddine, Umar Farooq +1
While traditional techniques, such as symbolic execution, provide a principled foundation for precise constraint reasoning in program analysis, they struggle to scale to modern sof…
MobileDev-Bench: A Benchmark for Issue Resolution in Mobile Application Development
Moshood A. Fakorede, Krishna Upadhyay, A. B. Siddique +1
Large language models (LLMs) have shown strong performance on automated software engineering tasks, yet existing benchmarks focus primarily on library-style repositories, leaving m…
A Large-Scale Study on the Development and Issues of Multi-Agent AI Systems
Daniel Liu, Krishna Upadhyay, Vinaik Chhetri +2
The rapid emergence of multi-agent AI systems (MAS), including LangChain, CrewAI, and AutoGen, has shaped how large language model (LLM) applications are developed and orchestrated…
Understanding Robustness of Model Editing in Code LLMs
Vinaik Chhetri, Moghis Fereidouni, A. B Siddique +1
Large language models (LLMs) for code are increasingly used in software development, but they remain static after pretraining while APIs and software libraries continue to evolve.…
A Framework for Generating Conversational Recommendation Datasets from Behavioral Interactions
Vinaik Chhetri, Yousaf Reza, Moghis Fereidouni +3
Modern recommendation systems typically follow two complementary paradigms: collaborative filtering, which models long-term user preferences from historical interactions, and conve…