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 …

[HTML][HTML] When llms meet cybersecurity: A systematic literature review

J Zhang, H Bu, H Wen, Y Liu, H Fei… - …, 2025 - cybersecurity.springeropen.com
The rapid development of large language models (LLMs) has opened new avenues across
various fields, including cybersecurity, which faces an evolving threat landscape and …

Agentless: Demystifying llm-based software engineering agents

CS **a, Y Deng, S Dunn, L Zhang - arxiv preprint arxiv:2407.01489, 2024 - arxiv.org
Recent advancements in large language models (LLMs) have significantly advanced the
automation of software development tasks, including code synthesis, program repair, and …

A survey on large language models for software engineering

Q Zhang, C Fang, Y **e, Y Zhang, Y Yang… - arxiv preprint arxiv …, 2023 - arxiv.org
Software Engineering (SE) is the systematic design, development, maintenance, and
management of software applications underpinning the digital infrastructure of our modern …

Large language model-based agents for software engineering: A survey

J Liu, K Wang, Y Chen, X Peng, Z Chen… - arxiv preprint arxiv …, 2024 - arxiv.org
The recent advance in Large Language Models (LLMs) has shaped a new paradigm of AI
agents, ie, LLM-based agents. Compared to standalone LLMs, LLM-based agents …

Testeval: Benchmarking large language models for test case generation

W Wang, C Yang, Z Wang, Y Huang, Z Chu… - arxiv preprint arxiv …, 2024 - arxiv.org
Testing plays a crucial role in the software development cycle, enabling the detection of
bugs, vulnerabilities, and other undesirable behaviors. To perform software testing, testers …

Apppoet: Large language model based android malware detection via multi-view prompt engineering

W Zhao, J Wu, Z Meng - Expert Systems with Applications, 2025 - Elsevier
Due to the vast array of Android applications, their multifarious functions and intricate
behavioral semantics, attackers can adopt various tactics to conceal their genuine attack …

Unblind text inputs: predicting hint-text of text input in mobile apps via LLM

Z Liu, C Chen, J Wang, M Chen, B Wu… - Proceedings of the …, 2024 - dl.acm.org
Mobile apps have become indispensable for accessing and participating in various
environments, especially for low-vision users. Users with visual impairments can use screen …

Large language model-brained gui agents: A survey

C Zhang, S He, J Qian, B Li, L Li, S Qin, Y Kang… - arxiv preprint arxiv …, 2024 - arxiv.org
GUIs have long been central to human-computer interaction, providing an intuitive and
visually-driven way to access and interact with digital systems. The advent of LLMs …

A Review on Edge Large Language Models: Design, Execution, and Applications

Y Zheng, Y Chen, B Qian, X Shi, Y Shu… - arxiv preprint arxiv …, 2024 - arxiv.org
Large language models (LLMs) have revolutionized natural language processing with their
exceptional capabilities. However, deploying LLMs on resource-constrained edge devices …