Software testing with large language models: Survey, landscape, and vision

J Wang, Y Huang, C Chen, Z Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Pre-trained large language models (LLMs) have recently emerged as a breakthrough
technology in natural language processing and artificial intelligence, with the ability to …

Automatic generation of programming exercises and code explanations using large language models

S Sarsa, P Denny, A Hellas, J Leinonen - Proceedings of the 2022 ACM …, 2022 - dl.acm.org
This article explores the natural language generation capabilities of large language models
with application to the production of two types of learning resources common in …

Lost at c: A user study on the security implications of large language model code assistants

G Sandoval, H Pearce, T Nys, R Karri, S Garg… - 32nd USENIX Security …, 2023 - usenix.org
Large Language Models (LLMs) such as OpenAI Codex are increasingly being used as AI-
based coding assistants. Understanding the impact of these tools on developers' code is …

Robustness, security, privacy, explainability, efficiency, and usability of large language models for code

Z Yang, Z Sun, TZ Yue, P Devanbu, D Lo - arxiv preprint arxiv:2403.07506, 2024 - arxiv.org
Large language models for code (LLM4Code), which demonstrate strong performance (eg,
high accuracy) in processing source code, have significantly transformed software …

Unveiling memorization in code models

Z Yang, Z Zhao, C Wang, J Shi, D Kim, D Han… - Proceedings of the IEEE …, 2024 - dl.acm.org
The availability of large-scale datasets, advanced architectures, and powerful computational
resources have led to effective code models that automate diverse software engineering …

Source code recommender systems: The practitioners' perspective

M Ciniselli, L Pascarella, E Aghajani… - 2023 IEEE/ACM 45th …, 2023 - ieeexplore.ieee.org
The automatic generation of source code is one of the long-lasting dreams in software
engineering research. Several techniques have been proposed to speed up the writing of …