Large language models for software engineering: A systematic literature review

X Hou, Y Zhao, Y Liu, Z Yang, K Wang, L Li… - ACM Transactions on …, 2023 - dl.acm.org
Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …

A survey on large language models for software engineering

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

Chain-of-thought in neural code generation: From and for lightweight language models

G Yang, Y Zhou, X Chen, X Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Large Language Models (LLMs) have demonstrated remarkable potential in code
generation. The integration of Chain of Thought (CoT) reasoning can further boost their …

Towards prompt tuning-based software vulnerability assessment with continual learning

J Xue, X Chen, J Wang, Z Cui - Computers & Security, 2024 - Elsevier
Software vulnerability assessment (SVA) has become increasingly important due to the
growing reliance on various software systems and the rising complexity of cyber threats …

Automatic bi-modal question title generation for Stack Overflow with prompt learning

S Yang, X Chen, K Liu, G Yang, C Yu - Empirical Software Engineering, 2024 - Springer
When drafting question posts for Stack Overflow, developers may not accurately summarize
the core problems in the question titles, which can cause these questions to not get timely …

Context-aware code generation with synchronous bidirectional decoder

X Zhang, Y Zhou, G Yang, T Han, T Chen - Journal of Systems and …, 2024 - Elsevier
Code generation aims to map natural language descriptions to code snippets. Recent
approaches using sequence-to-tree models have shown promising results. However, they …

SABER: Model-agnostic Backdoor Attack on Chain-of-Thought in Neural Code Generation

N Jin, Z Li, Y Guo, C Su, T Zhang, Q Zeng - arXiv preprint arXiv …, 2024 - arxiv.org
Recent studies have proposed integrating Chain-of-Thought (CoT) reasoning to further
enhance the reliability of Code Language Models (CLMs) in generating code, a step-by-step …

Example-Based Automatic Migration of Continuous Integration Systems

DE Rzig, A Houerbi, C Sung, F Hassan - arXiv preprint arXiv:2407.02644, 2024 - arxiv.org
Continuous Integration (CI) is a widely adopted practice for faster code change integration
and testing. Developers often migrate between CI systems in pursuit of features like matrix …

[PDF][PDF] The Journal of Systems & Software

X Zhang, H Pham - 2022 - wssun.github.io
abstract Test case prioritization (TCP) aims to reorder the regression test suite with a goal of
increasing the fault detection rate. Various TCP techniques have been proposed based on …

ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding

PRETVIAO GROUNDING - openreview.net
Language models (LMs) have become a staple of the code-writing toolbox. Their pre-
training recipe has, however, remained stagnant over recent years, barring the occasional …