代码大模型 / AI 编程

CITYWALK: Enhancing LLM-Based C++ Unit Test Generation via Project-Dependency Awareness and Language-Specific Knowledge

Yuwei Zhang, Qingyuan Lu, Kai Liu, Wensheng Dou, Jiaxin Zhu, Li Qian, Chunxi Zhang, Zheng Lin, Jun Wei

专题命中 测试生成 ：unit test generation(title,abstract)；分类 cs.SE

Comments Preprint, to appear in the ACM Transactions on Software Engineering and Methodology (TOSEM)

Seed&Steer: Guiding Large Language Models with Compilable Prefix and Branch Signals for Unit Test Generation

Shuaiyu Zhou, Zhengran Zeng, Xiaoling Zhou, Rui Xie, Shikun Zhang, Wei Ye

专题命中 测试生成 ：unit test generation(title,abstract)；分类 cs.SE

TestGenEval: A Real World Unit Test Generation and Test Completion Benchmark

Kush Jain, Gabriel Synnaeve, Baptiste Rozière

专题命中 测试生成 ：unit test generation(title)；code generation(abstract)；分类 cs.SE

Less is More: On the Importance of Data Quality for Unit Test Generation

Junwei Zhang, Xing Hu, Shan Gao, Xin Xia, David Lo, Shanping Li

专题命中 测试生成 ：unit test generation(title,abstract)；分类 cs.SE

ASTER: Natural and Multi-language Unit Test Generation with LLMs

Rangeet Pan, Myeongsoo Kim, Rahul Krishna, Raju Pavuluri, Saurabh Sinha

专题命中 测试生成 ：unit test generation(title,abstract)；分类 cs.SE

Comments Accepted at ICSE-SEIP, 2025

What You See Is What You Get: Attention-based Self-guided Automatic Unit Test Generation

Xin Yin, Chao Ni, Xiaodan Xu, Xiaohu Yang

专题命中 测试生成 ：unit test generation(title,abstract)；分类 cs.SE

Comments Accepted By ICSE'25

LLM-based Unit Test Generation via Property Retrieval

Zhe Zhang, Xingyu Liu, Yuanzhang Lin, Xiang Gao, Hailong Sun, Yuan Yuan

专题命中 测试生成 ：unit test generation(title,abstract)；分类 cs.SE

On the Evaluation of Large Language Models in Unit Test Generation

Lin Yang, Chen Yang, Shutao Gao, Weijing Wang, Bo Wang, Qihao Zhu, Xiao Chu, Jianyi Zhou, Guangtai Liang, Qianxiang Wang, Junjie Chen

专题命中 测试生成 ：unit test generation(title,abstract)；分类 cs.SE

Comments Accepted by ASE 2024, Research Paper Track

CasModaTest: A Cascaded and Model-agnostic Self-directed Framework for Unit Test Generation

Chao Ni, Xiaoya Wang, Liushan Chen, Dehai Zhao, Zhengong Cai, Shaohua Wang, Xiaohu Yang

专题命中 测试生成 ：unit test generation(title,abstract)；分类 cs.SE

Comments 14 pages, 7 figures

No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation

Zhiqiang Yuan, Yiling Lou, Mingwei Liu, Shiji Ding, Kaixin Wang, Yixuan Chen, Xin Peng

专题命中 测试生成 ：unit test generation(title,abstract)；分类 cs.SE

Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge

Arunkaleeshwaran Narayanan, Nima Shiri harzevili, Junjie Wang, Lin Shi, Moshi Wei, Song Wang

专题命中 测试生成 ：unit test generation(title,abstract)；分类 cs.SE

An Empirical Study of Automated Unit Test Generation for Python

Stephan Lukasczyk, Florian Kroiß, Gordon Fraser

专题命中 测试生成 ：unit test generation(title,abstract)；分类 cs.SE

Comments 51 pages, submitted to EMSE Special Issue on Advances in Search-Based Software Engineering. arXiv admin note: text overlap with arXiv:2007.14049

Pynguin: Automated Unit Test Generation for Python

Stephan Lukasczyk, Gordon Fraser

专题命中 测试生成 ：unit test generation(title,abstract)；分类 cs.SE

Comments 5 pages

CoCoFuzzing: Testing Neural Code Models with Coverage-Guided Fuzzing

Moshi Wei, Yuchao Huang, Jinqiu Yang, Junjie Wang, Song Wang

专题命中 测试生成 ：code model(title,abstract)；分类 cs.SE

Automated Unit Test Generation for Python

Stephan Lukasczyk, Florian Kroiß, Gordon Fraser

专题命中 测试生成 ：unit test generation(title,abstract)；分类 cs.SE

Comments 15 pages, to be published in Proceedings of the 12th Symposium on Search-Based Software Engineering (SSBSE 2020)

Automated Regression Unit Test Generation for Program Merges

Tao Ji, Liqian Chen, Xiaoguang Mao, Xin Yi, Jiahong Jiang

专题命中 测试生成 ：unit test generation(title,abstract)；分类 cs.SE

A Multi-Agent Framework for Stateful Inference-Time Search

Arshika Lalan, Rajat Ghosh, Aditya Kolsur, Debojyoti Dutta

机构 * Carnegie Mellon University（卡内基梅隆大学） ； Nutanix（Nutanix公司） 纠错

专题命中 测试生成 ：code generation(abstract)；unit test generation(abstract)；分类 cs.SE、cs.CL、cs.AI

LLMs for Automated Unit Test Generation and Assessment in Java: The AgoneTest Framework

基于大型语言模型的Java自动化单元测试生成与评估：AgoneTest框架

Andrea Lops, Fedelucio Narducci, Azzurra Ragone, Michelantonio Trizio, Claudio Bartolini

机构 * University of Bari, Bari, Italy（巴里大学） 纠错

专题命中 测试生成 ：unit test generation(title)；分类 cs.SE、cs.AI

AI总结 AgoneTest框架通过标准化评估流程，评估大型语言模型生成的Java单元测试质量，展示其在覆盖率和缺陷检测上的表现，并探讨提示策略对测试质量的影响。

Comments Accepted at 40th IEEE/ACM International Conference on Automated Software Engineering

Impact of Code Context and Prompting Strategies on Automated Unit Test Generation with Modern General-Purpose Large Language Models

Jakub Walczak, Piotr Tomalak, Artur Laskowski

机构 * Lodz University of Technology（华沙理工大学） ； Comarch 纠错

专题命中 测试生成 ：unit test generation(title)；分类 cs.SE、cs.AI

A Study on the Improvement of Code Generation Quality Using Large Language Models Leveraging Product Documentation

Takuro Morimoto, Harumi Haraguchi

专题命中 测试生成 ：code generation(title)；分类 cs.SE、cs.AI

Comments 12 pages, 5 figures and 10 tables

Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation

Benjamin Steenhoek, Michele Tufano, Neel Sundaresan, Alexey Svyatkovskiy

专题命中 测试生成 ：unit test generation(title)；分类 cs.SE、cs.LG

Comments This work was intended as a replacement of arXiv:2310.02368 and any subsequent updates will appear there

Harnessing the Power of LLMs: Automating Unit Test Generation for High-Performance Computing

Rabimba Karanjai, Aftab Hussain, Md Rafiqul Islam Rabin, Lei Xu, Weidong Shi, Mohammad Amin Alipour

专题命中 测试生成 ：unit test generation(title)；分类 cs.SE、cs.AI

CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks

Hongchao Jiang, Yiming Chen, Yushi Cao, Hung-yi Lee, Robby T. Tan

专题命中 测试生成 ：code generation(abstract)；unit test generation(abstract)；分类 cs.SE、cs.CL、cs.AI

Comments Dataset is available at https://huggingface.co/datasets/mattymchen/codejudgebench

RLTF: Reinforcement Learning from Unit Test Feedback

Jiate Liu, Yiqin Zhu, Kaiwen Xiao, Qiang Fu, Xiao Han, Wei Yang, Deheng Ye

专题命中 测试生成 ：code generation(abstract)；program synthesis(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Accepted by TMLR

Mutation-Guided Unit Test Generation with a Large Language Model

基于大语言模型的突变指导单元测试生成

Guancheng Wang, Qinghua Xu, Lionel Briand, Kui Liu

专题命中 测试生成 ：unit test generation(title)；分类 cs.SE

AI总结 本文提出MUTGEN方法，利用突变反馈提升测试覆盖率，优于EvoSuite和传统提示方法，在突变分数上表现更优，并探讨了LLM生成的局限性。

Comments Accepted in IEEE Transactions on Software Engineering

Real-World Fault Detection for C-Extended Python Projects with Automated Unit Test Generation

面向C扩展Python项目的现实世界故障检测：自动化单元测试生成

Lucas Berg, Lukas Krodinger, Stephan Lukasczyk, Annibale Panichella, Gordon Fraser, Wim Vanhoof, Xavier Devroey

专题命中 测试生成 ：unit test generation(title)；分类 cs.SE

AI总结 本研究提出通过分离测试生成过程的生成与执行阶段，利用子进程执行技术提升C扩展Python项目中故障检测的覆盖率和准确性。

Comments Accepted at the 19th IEEE International Conference on Software Testing, Verification and Validation (ICST) 2026, Daejeon, Republic of Korea

Test vs Mutant: Adversarial LLM Agents for Robust Unit Test Generation

测试与突变：对抗性LLM代理用于鲁棒性单元测试生成

Pengyu Chang, Yixiong Fang, Silin Chen, Yuling Shi, Beijun Shen, Xiaodong Gu

专题命中 测试生成 ：unit test generation(title)；分类 cs.SE

AI总结 AdverTest通过对抗性代理提升单元测试生成的鲁棒性，提高故障检测率和覆盖率

Quantum-Guided Test Case Minimization for LLM-Based Code Generation

Huixiang Zhang, Mahzabeen Emu

专题命中 测试生成 ：code generation(title)；分类 cs.SE

Comments This is a preprint version, full paper has been accepted in IEEE CASCON 2025 and will appear on lEEE Xplore

Constraint-Guided Unit Test Generation for Machine Learning Libraries

Lukas Krodinger, Altin Hajdari, Stephan Lukasczyk, Gordon Fraser

专题命中 测试生成 ：unit test generation(title)；分类 cs.SE

Comments Accepted for SSBSE 2025

Search-based Hyperparameter Tuning for Python Unit Test Generation

Stephan Lukasczyk, Gordon Fraser

专题命中 测试生成 ：unit test generation(title)；分类 cs.SE

Comments Accepted to the 17th Symposium on Search-Based Software Engineering 2025 (SSBSE 2025)