affiliation not provided to SSRN
Large Language Models, LLMs-based Multi Agent Systems, software engineering
Software quality, Low-code Development platforms, Model-driven Engineering, Internet of Things
Large Language Models (LLMs), Malicious Code Detection, Software Security, Zero-shot Learning, Few-shot Learning
Fairness Detection, Bias Symptoms, Empirical Study, Software Fairness
Recommender systems, Github topics recommendations, Collaborative-Filtering techniques, Naïve Bayesian Network
Software Classification, Active Sampling, Taxonomy, GitHub
Self-Admitted Technical Debt, NLP techniques, Neural Networks, Large Language Models
Large language models, Data Contamination, Memorization, CWE
Machine Learning Fairness, Software Engineering for Artificial Intelligence, Empirical Software Engineering
Large language models, Retrieval-augmented generation, Adversarial attacks.
Energy analysis, performances, Generative AI, large language models
