Requirements Engineering (RE) is a critical sub-field of Software Engineering (SE), involving activities to identify, specify, model, analyze, and validate system needs and constraints. RE plays a fundamental role in the SE process. With the current advances in AI, new opportunities for RE arise to ensure the developme...
S. Abualhaija, Chetan Arora, Alessio Ferrari et al.· Software engineering notes· 0 citations
RAGLog is presented, which detects and localizes faults across RAG stages using execution logs, without requiring reference answers or code instrumentation, and is available as an open-source tool for debugging, evaluating, and monitoring RAG pipelines.
Hira Naveed, Scott Barnett, Stefanus Kurniawan et al.· 0 citations
Embodied virtual agents (EVAs) are increasingly deployed in immersive virtual environments, where their nonverbal cues serve as a primary channel for affective communication. However, systematic evidence on how these nonverbal cues shape users’ emotional perception in virtual environments remains limited and disperse...
Jing-Jing Zhang, Yi Wang, Hai-Yan Han et al.· Virtual Reality· 0 citations
A Semantics-Grammar Coupled Space (SGCS), a low-dimensional space in which token positions encode semantic information and spatial relations encode grammatical dependencies, which improves downstream performance on most evaluated tasks, with especially consistent gains on sentiment-oriented and grammar-sensitive benchm...
SkillGate, a deployable security gateway that screens AI skill packages before coding agent installation is presented, and four research questions covering detection effectiveness, screening cost, runtime overhead, and false positive behavior on the SkillsBench benchmark against two existing tools are answered.
Rui Yang, Michael Fu, C. Tantithamthavorn et al.· arXiv.org· 1 citation
The findings provide empirical evidence that LLM support does not necessarily improve performance and may, instead, hinder it for novice inspectors, and suggest that learning RI with LLM-support from the beginning may slow down the skill acquisition process.
Giovanna Broccia, Julian Frattini, Chetan Arora et al.· 0 citations
This paper introduces Requirements-Augmented Generation (REAG), which interprets user intentions by retrieving relevant software requirements, domain knowledge, and personas via adaptive RAG and self-reasoning to generate context-aware test oracles, and introduces a confidence-calibrated cascade judgment, which quantif...
Fan-Yu Wang, Chetan Arora, Zhen-Ping Xie et al.· 0 citations
An adversarial skill-synthesis method using six LLMs across four families to transform 471 real-world shell commands into benign-appearing skills, released as a benchmark of 2,826 skills mapped to 11 MITRE ATT&CK tactics.
Rui Yang, Michael Fu, Kla Tantithamthavorn et al.· 0 citations
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