Self-Collaboration Code Generation via ChatGPT
Dong, Yihong, Jiang, Xue, Jin, Zhi, Li, Ge·2024·ACM Transactions on Software Engineering and Methodology
DOI 10.1145/3672459
Cited by (572)
Items 101–200 of 572
- NetSafe: Exploring the Topological Safety of Multi-agent NetworksYu, Miao, Shilong Wang, Guibin Zhang, Junyuan Mao, Yin, Chenlong, Qijiong Liu, Qingsong Wen, Kun Wang, Wang, Yang · 2024 · arXiv (Cornell University)
- Multi-Agent Collaboration via Cross-Team OrchestrationZ. Z. Du, Qian Chen, Wei Liu, Zihao Xie, Yifei Wang, Rennai Qiu, Yufan Dang, Weize Chen, Cheng Yang, Ye Tian et al. · 2025 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
- Autonomous Agents in Software Development: A Vision PaperZeeshan Rasheed, Muhammad Waseem, M. Sami, Kai‐Kristian Kemell, Aakash Ahmad, Anh Nguyen‐Duc, Kari Systä, Pekka Abrahamsson · 2025 · Lecture notes in business information processing
- A survey on large language models for software engineeringZhang, Quanjun, Fang, Chunrong, Xie, Yang, Zhang, Yaxin, Yu, Shengcheng, Sun, Weisong, Yang, Yun, Chen, Zhenyu · 2026 · Science China Information Sciences
- Large Language Models Miss the Multi-Agent MarkEmanuele La Malfa, G. La Malfa, Samuele G. Marro, Jie M. Zhang, Elizabeth Black, Michael Luck, P. Torr, Michael Wooldridge · 2025 · Neural Information Processing Systems
- ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code GenerationXue Jiang, Yihong Dong, Yong-Ding Tao, Huan-Yu Liu, Zhi Jin, Wen-Pin Jiao, Ge Li · 2024 · arXiv.org
- Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language ModelsYanlin Wang, Tianyue Jiang, Mingwei Liu, Jiachi Chen, Mingzhi Mao, Xilin Liu, Yuchi Ma, Zibin Zheng · 2025 · Proceedings of the ACM on software engineering.
- LLMs in Web Development: Evaluating LLM-Generated PHP Code Unveiling Vulnerabilities and LimitationsTóth, Rebeka, Bisztray, Tamas, Erdődi, László · 2024 · Lecture Notes in Computer Science
- AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and OptimisationHuang, Dong, Zhang, Jie M., Luck, Michael, Bu, Qingwen, Qing, Yuhao, Cui, Heming · 2023 · arXiv
- On the Use of Agentic Coding: An Empirical Study of Pull Requests on GitHubWatanabe, Miku, Li, Hao, Kashiwa, Yutaro, Reid, Brittany, Iida, Hajimu, Hassan, Ahmed E. · 2026 · ACM Transactions on Software Engineering and Methodology
- An Investigation into Misuse of Java Security APIs by Large Language ModelsZahra Mousavi, Chadni Islam, Kristen Moore, Alsharif Abuadbba, Muhammad Ali Babar · 2024 · ACM Asia Conference on Computer and Communications Security (ASIA CCS)
- DeepSeek-Inspired Exploration of RL-Based LLMs and Synergy with Wireless Networks: A SurveyYu Qiao, Phuong-Nam Tran, Ji Su Yoon, Loc X. Nguyen, Eui‐Nam Huh, Dusit Tao Niyato, Choong Seon Hong · 2025 · ACM Computing Surveys
- Code Comprehension then Auditing for Unsupervised LLM EvaluationBhrij Patel, Souradip Chakraborty, M.-Z. Wang, Dinesh Manocha, Amrit Singh Bedi · 2024 · arXiv (Cornell University)
- PACE: Improving Prompt with Actor-Critic Editing for Large Language ModelYihong Dong, Kangcheng Luo, Xue Jiang, Zhi Jin, Ge Li · 2023 · Annual Meeting of the Association for Computational Linguistics
- Advanced Smart Contract Vulnerability Detection via LLM-Powered Multi-Agent SystemsWei, Zhiyuan, Sun, Jing, Sun, Yuqiang, Liu, Ye, Wu, Daoyuan, Zhang, Zijian, Zhang, Xianhao, Li, Meng, Liu, Yang, Li, Chunmiao et al. · 2025 · IEEE Transactions on Software Engineering
- Generative AI for Pull Request Descriptions: Adoption, Impact, and Developer InterventionsXiao, Tao, Hata, Hideaki, Treude, Christoph, Matsumoto, Kenichi · 2024 · Proceedings of the ACM on Software Engineering
- A Trembling House of Cards? Mapping Adversarial Attacks against Language AgentsLingbo Mo, Zeyi Liao, Zheng, Boyuan, Yu Su, Chaowei Xiao, Huan Sun · 2024 · arXiv (Cornell University)
- S-Agents: Self-organizing Agents in Open-ended EnvironmentsJia-Qing Chen, Yu-Xian Jiang, Jia-Chen Lu, Li Zhang · 2024 · arXiv.org
- Bridging Design and Development with Automated Declarative UI Code GenerationTi Zhou, Yan-Jie Zhao, Xin-Yi Hou, Xiaoyu Sun, Kai Chen, Hao-Yu Wang · 2024 · arXiv.org
- AutoData: A Multi-Agent System for Open Web Data CollectionTian-Yi Ma, Yi-Yue Qian, Zhe-Yuan Zhang, Ze-Hong Wang, Xiao Qian, Fei Bai, Yi-Fan Ding, Xu-Wei Luo, Shi-Nan Zhang, K. Murugesan et al. · 2025 · Neural Information Processing Systems
- Large Language Models in Fault LocalisationWu, Yonghao, Li, Zheng, Zhang, Jie M., Papadakis, Mike, Harman, Mark, Liu, Yong · 2023 · arXiv
- Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time ComputeYingwei Ma, Yongbin Li, Yihong Dong, Xue Jiang, Yanhao Li, Yue Liu, Rongyu Cao, Jue Chen, Fei Huang, Binhua Li · 2025 · IEEE/ACM International Conference on Automated Software Engineering (ASE)
- PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug FixingYuwei Zhang, Zhi Jin, Ying Xing, Ge Li, Fang Liu, Jiaxin Zhu, Wensheng Dou, Jun Wei · 2023 · ACM Transactions on Software Engineering and Methodology
- CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics AlignmentXue Jiang, Yihong Dong, Mengyang Liu, Hongyi Deng, Tian Wang, Yong-Ding Tao, Rongyu Cao, Bin-Hua Li, Zhi Jin, Wen-Pin Jiao et al. · 2025 · Annual Meeting of the Association for Computational Linguistics
- Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task PerformancePedro Henrique Luz de Araujo, Paul Röttger, Dirk Hovy, Benjamin Roth · 2025 · Conference on Empirical Methods in Natural Language Processing
- Chain-of-programming (CoP): empowering large language models for geospatial code generation taskShuyang Hou, Haoyue Jiao, Zhangxiao Shen, Jianyuan Liang, Anqi Zhao, Xiaopu Zhang, Jianxun Wang, Huayi Wu · 2025 · International Journal of Digital Earth
- Systematic Failures in Collective Reasoning under Distributed Information in Multi-Agent LLMsYuxuan Li, Aoi Naito, Hirokazu Shirado · 2025 · arXiv (Cornell University)
- Can we find bugs using LLM-generated oracles?Michael Konstantinou, Renzo Degiovanni, Mike Papadakis · 2024 · arXiv (Cornell University)
- Depending on yourself when you should: Mentoring LLM with RL agents to become the master in cybersecurity gamesYikuan Yan, Yao Zhang, Keman Huang · 2024 · arXiv.org
- GOAT: A Generalized Cross-Dataset Activity Recognition Framework with Natural Language SupervisionShenghuan Miao, Ling Chen · 2024 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
- Knowledge-Aware Code Generation with Large Language ModelsTao Huang, Zhihong Sun, Zhi Gang Jin, Ge Li, Chen Lyu · 2024 · IEEE International Conference on Program Comprehension (ICPC)
- OpenFOAMGPT 2.0: End-to-end, trustworthy automation for computational fluid dynamicsJingsen Feng, Ran Xu, Xu Chu · 2026 · International Journal of Heat and Fluid Flow
- Scalable and Accurate Graph Reasoning with LLM-based Multi-AgentsYu-Wei Hu, Run-Lin Lei, Xin-Yi Huang, Zhewei Wei, Yong-Chao Liu · 2024 · arXiv.org
- Foam-Agent 2.0: An End-to-End Composable Multi-Agent Framework for Automating CFD Simulation in OpenFOAMYue, Ling, Nithin Somasekharan, Zhang, Tingwen, Yadi Cao, Shaowu Pan · 2025 · arXiv (Cornell University)
- Exploring Autonomous Agents: A Closer Look at Why They Fail When Completing TasksRuofan Lu, Yichen Li, Yintong Huo · 2025 · IEEE/ACM International Conference on Automated Software Engineering (ASE)
- Social Bias in Large Language Models For Bangla: An Empirical Study on Gender and Religious BiasJayanta Sadhu, Maneesha Rani Saha, Rifat Shahriyar · 2024 · arXiv (Cornell University)
- Computational Experiments Meet Large Language Model Based Agents: A Survey and PerspectiveQun Ma, Xue, Xiao, Deyu Zhou, Xiangning Yu, Donghua Liu, Zhang, Xuwen, Zihan Zhao, Yifan Shen, Peilin Ji, Juanjuan Li et al. · 2024 · arXiv (Cornell University)
- StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem SolvingChang Gao, Haiyun Jiang, Deng Cai, Shu-Ming Shi, Wai Lam · 2023 · Neural Information Processing Systems
- Discriminating Human-authored from ChatGPT-Generated Code Via Discernable Feature AnalysisKe Li, Sheng Hong, Cai Fu, Yunhe Zhang, Ming Liu · 2023 · IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)
- The FM AgentLi, Annan, Wu, Chufan, Zengle Ge, Yee Hin Chong, Hou, Zhinan, Cao, Lizhe, Ju, Cheng, Wu, Jianmin, Li, Huaiming, Zhang, Haobo et al. · 2025 · arXiv (Cornell University)
- AI based Multiagent Approach for Requirements Elicitation and AnalysisM. Sami, Muhammad Waseem, Zhe-Ying Zhang, Z. Rasheed, Kari Systä, Pekka Abrahamsson · 2024 · arXiv.org
- CodePori: Large Scale Model for Autonomous Software Development by Using Multi-AgentsZ. Rasheed, Muhammad Waseem, Mika Saari, Kari Systä, Pekka Abrahamsson · 2024 · arXiv.org
- Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and LatencyNazmus Ashrafi, Salah Bouktif, Mohammed Mediani · 2025 · arXiv.org
- MetaOpenFOAM 2.0: Large Language Model Driven Chain of Thought for Automating CFD Simulation and Post-ProcessingYuxuan Chen, Xu Zhu, Hua Zhou, Zhu-Yin Ren · 2025 · arXiv.org
- Automated Unit Test Generation via Chain-of-Thought Prompt and Reinforcement Learning from Coverage FeedbackJunwei Zhang, Xing Hu, Xin Xia, Shing-Chi Cheung, Shanping Li · 2025 · ACM Transactions on Software Engineering and Methodology
- Aligning Requirement for Large Language Model's Code GenerationZhao Tian, Jun-Jie Chen · 2025 · Proceedings of the 2026 IEEE/ACM 48th International Conference on Software Engineering
- LLM-Cure: LLM-Based Competitor User Review Analysis for Feature EnhancementMaram Assi, Safwat Hassan, Ying Zou · 2025 · ACM Transactions on Software Engineering and Methodology
- An LLM-based Agent for Reliable Docker Environment ConfigurationRui-Da Hu, Chao Peng, Xinchen Wang, Cui-Yun Gao · 2025 · arXiv.org
- SolEval: Benchmarking Large Language Models for Repository-level Solidity Smart Contract GenerationZhiyuan Peng, Xin Yin, Rui Qian, Peiqin Lin, YongKang Liu, Hao Zhang, Chenhao Ying, Yuan Luo · 2025 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Do Advanced Language Models Eliminate the Need for Prompt Engineering in Software Engineering?Wang, Guoqing, Sun, Zeyu, Ye, Sixiang, Gong, Zhihao, Chen, Yizhou, Zhao, Yifan, Liang, Qingyuan, Hao, Dan · 2026 · ACM Transactions on Software Engineering and Methodology
- MaintainCoder: Maintainable Code Generation Under Dynamic RequirementsZheng-Ren Wang, Rui Ling, Chu-Fan Wang, Yong-An Yu, Si-Zhe Wang, Zhi-Yu Li, Fei-Yu Xiong, Wen-Tao Zhang · 2025 · Neural Information Processing Systems
- Prompt Alchemy: Automatic Prompt Refinement for Enhancing Code GenerationSi-Xiang Ye, Zeyu Sun, Guo-Qing Wang, Li-Wei Guo, Qing-Lin Liang, Zheng Li, Yong Liu · 2025 · IEEE Transactions on Software Engineering
- Efficient Dynamic Ensembling for Multiple LLM ExpertsJinwu Hu, Yufeng Wang, Shuhai Zhang, Kai Zhou, Guohao Chen, Yu Hui Hu, Bin Xiao, Mingkui Tan · 2025 · International Joint Conference on Artificial Intelligence
- Refactoring to Pythonic Idioms: A Hybrid Knowledge-Driven Approach Leveraging Large Language ModelsZejun Zhang, Zhenchang Xing, Xiaoxue Ren, Qinghua Lu, Xiwei Xu · 2024 · Proceedings of the ACM on software engineering.
- EvoRoute: Experience-Driven Self-Routing LLM Agent SystemsGui-Bin Zhang, Haiyang Yu, Kai Yang, Bingli Wu, Fei Huang, Yong-Bin Li, Shui-Cheng Yan · 2026 · Annual Meeting of the Association for Computational Linguistics
- Saber: An Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language ModelYihong Dong, Zhaoyu Ma, Xue Jiang, Zhi-Yuan Fan, Jia-Ru Qian, Yong-Ming Li, Jian Xiao, Zhi Jin, Rongyu Cao, Bin-Hua Li et al. · 2025 · arXiv.org
- ConTested: Consistency-Aided Tested Code Generation with LLMJinhao Dong, Jun Sun, Wenjie Zhang, Jin Song Dong, Dan Hao · 2025 · Proceedings of the ACM on software engineering.
- SolEval: Benchmarking Large Language Models for Repository-level Solidity Code GenerationZhi-Yuan Peng, Xin Yin, Rui Qian, Peiqin Lin, Yong-Kang Liu, Hao Zhang, Chen-Hao Ying, Yuan Luo · 2025 · arXiv.org
- Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation BenchmarkDewu Zheng, Yanlin Wang, Ensheng Shi, Xilin Liu, Yuchi Ma, Hongyu Zhang, Zibin Zheng · 2026 · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
- Coding by Design: GPT-4 empowers Agile Model Driven DevelopmentAhmed R. Sadik, Sebastian Brulin, M. Olhofer · 2023 · International Conference on Model-Driven Engineering and Software Development
- OctoPack: Instruction Tuning Code Large Language ModelsMuennighoff, Niklas, Liu, Qian, Zebaze, Armel, Zheng, Qinkai, Hui, Binyuan, Zhuo, Terry Yue, Singh, Swayam, Tang, Xiangru, von Werra, Leandro, Longpre, Shayne · 2023 · arXiv
- CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and DebuggingIslam, Md. Ashraful, Ali, Mohammed Eunus, Parvez, Md Rizwan · 2025 · arXiv
- CADialogue: A multimodal LLM-powered conversational assistant for intuitive parametric CAD modelingJi-Wei Zhou, J. Camba, Pedro Company · 2026 · Comput. Aided Des.
- Are AI agents the new machine translation frontier? Challenges and opportunities of single- and multi-agent systems for multilingual digital communicationVicent Brivá-Iglesias · 2025 · arXiv (Cornell University)
- Studying How Configurations Impact Code Generation in LLMs: The Case of ChatGPTBenedetta Donato, Leonardo Mariani, Daniela Micucci, Oliviero Riganelli · 2025 · IEEE International Conference on Program Comprehension (ICPC)
- LLM-Based Misconfiguration Detection for AWS Serverless ComputingJinfeng Wen, Zhen-Peng Chen, Zixi Zhu, Federica Sarro, Yi Liu, Hao-Di Ping, Shang-Guang Wang · 2024 · ACM Transactions on Software Engineering and Methodology
- A Model Is Not Built By A Single Prompt: LLM-Based Domain Modeling With Question DecompositionRu Chen, Jingwei Shen, Xiao Hui He · 2024 · arXiv (Cornell University)
- Analyzing Developer-ChatGPT Conversations for Software Refactoring: An Exploratory StudyO. Chavan, D. Hinge, S. Deo, Ya-Xuan Wang, M. Mkaouer · 2024 · IEEE Working Conference on Mining Software Repositories
- Exploring the Limits of ChatGPT in Software Security ApplicationsFangzhou Wu, Qingzhao Zhang, Ati Priya Bajaj, Tiffany Bao, Ning Zhang, Ruoyu Wang, Chaowei Xiao · 2023 · arXiv (Cornell University)
- Combining Retrieval-Augmented Generation and Few-Shot Learning for Model Synthesis of Uncommon DSLsNils Baumann, J. Diaz, Judith Michael, Lukas Netz, Haron Nqiri, Jan Reimer, B. Rumpe · 2024 · Modellierung
- Multi-Agent Consensus Seeking via Large Language ModelsChen, Huaben, Ji, Wenkang, Xu, Lufeng, Zhao, Shiyu · 2023 · arXiv
- Towards Transparent and Incentive-Compatible Collaboration in Decentralized LLM Multi-Agent Systems: A Blockchain-Driven ApproachMin-Feng Qi, Tian-Qing Zhu, Le-Feng Zhang, Ning-Ran Li, Wan-Lei Zhou · 2025 · arXiv.org
- Augmenting Multi-Agent Communication with State Delta TrajectoryYi-Chen Tang, Wei-Hang Su, Yu-Jia Zhou, Yi-Qun Liu, Min Zhang, Shao-Ping Ma, Qing-Yao Ai · 2025 · Conference on Empirical Methods in Natural Language Processing
- A Deep Dive Into Large Language Model Code Generation Mistakes: What and Why?Chen, QiHong, Jiachen Yu, Jiawei Li, Deng, Jiecheng, Chen, Justin Tian Jin, Iftekhar Ahmed · 2024 · arXiv (Cornell University)
- INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and HelpfulnessHung Le, Ying-Bo Zhou, Cai-Ming Xiong, S. Savarese, Doyen Sahoo · 2024 · Neural Information Processing Systems
- Prioritizing Software Requirements Using Large Language ModelsM. Sami, Z. Rasheed, Muhammad Waseem, Zhe-Ying Zhang, Tomas Herda, Pekka Abrahamsson · 2024 · arXiv.org
- FoC: Figure Out the Cryptographic Functions in Stripped Binaries with LLMsXiuwei Shang, Guoqiang Chen, Shaoyin Cheng, Shikai Guo, Yanming Zhang, Weiming Zhang, Nenghai Yu · 2025 · ACM Transactions on Software Engineering and Methodology
- LUNA: A Model-Based Universal Analysis Framework for Large Language ModelsDa Song, Xuan Xie, Jiayang Song, Derui Zhu, Yuheng Huang, Felix Juefei-Xu, Lei Ma · 2024 · IEEE Transactions on Software Engineering
- Cinema Multiverse Lounge: Enhancing Film Appreciation via Multi-Agent ConversationsJeongwoo Ryu, Kyusik Kim, Dongseok Heo, Hyungwoo Song, Changhoon Oh, Bongwon Suh · 2025 · CHI Conference on Human Factors in Computing Systems
- On Continually Tracing Origins of LLM-Generated Text and Its Application in Detecting Cheating in Student CourseworkQuan Wang, Haoran Li · 2025 · Big Data and Cognitive Computing
- A Tool for Test Case Scenarios Generation Using Large Language ModelsAbdul Malik Sami, Z. Rasheed, Muhammad Waseem, Zhe-Ying Zhang, Herda Tomas, Pekka Abrahamsson · 2024 · arXiv.org
- Experimenting with Multi-Agent Software Development: Towards a Unified PlatformSami, Malik Abdul, Muhammad Waseem, Zeeshan Rasheed, Mika Saari, Kari Systä, Pekka Abrahamsson · 2024 · arXiv (Cornell University)
- Exploring Data-Efficient Adaptation of Large Language Models for Code GenerationXue Jiang, Yihong Dong, Zhiyuan Fan, Zhi Gang Jin, Wenpin Jiao, Ge Li · 2025 · ACM Transactions on Software Engineering and Methodology
- A Study on Training and Developing Large Language Models for Behavior Tree GenerationLi, Fu, Xueying Wang, Bin Li, Yunlong Wu, Yanzhen Wang, Xiaodong Yi · 2024 · arXiv (Cornell University)
- RTADev: Intention Aligned Multi-Agent Framework for Software DevelopmentJie Liu, Guohua Wang, Ronghui Yang, Jiajie Zeng, Mengchen Zhao, Yi Cai · 2025 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
- RustAssure: Differential Symbolic Testing for LLM-Transpiled C-to-Rust CodeYubo Bai, Tapti Palit · 2025 · International Conference on Automated Software Engineering
- AdaCoder: An Adaptive Planning and Multi-Agent Framework for Function-Level Code GenerationYue-Heng Zhu, Chao Liu, Xuan He, Xiao-Xue Ren, Zhong-Xin Liu, Ru-Wei Pan, Hong-Yu Zhang · 2025 · IEEE Transactions on Software Engineering
- Automated categorization of pre-trained models in software engineering: A case study with a Hugging Face datasetClaudio Di Sipio, Riccardo Rubei, J. Di Rocco, D. Di Ruscio, P. Nguyen · 2024 · International Conference on Evaluation & Assessment in Software Engineering
- Exploring Individual Factors in the Adoption of LLMs for Specific Software Engineering TasksStefano Lambiase, Gemma Catolino, Fabio Palomba, F. Ferrucci, Daniel Russo · 2025 · arXiv.org
- INTERVENOR: Prompt the Coding Ability of Large Language Models with the Interactive Chain of RepairingHanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhi-Yuan Liu, Ge Yu · 2023 · arXiv.org
- Analyzing the teaching and learning environments through student feedback at scale: a multi-agent LLMs frameworkChang Cai, Shengxin Hong, Min Ma, Haiyue Feng, Sixuan Du, Minyang Chow, Winnie Li-Lian Teo, Siyuan Liu, Xiuyi Fan · 2025 · Education and Information Technologies
- GenSwarm: Scalable Multi-Robot Code-Policy Generation and Deployment via Language ModelsWenkang Ji, Huaben Chen, Mingyang Chen, Guobin Zhu, Lufeng Xu, Roderich Gros, Rui Zhou, Ming Cao, Shiyu Zhao · 2026 · npj Robotics
- Planning-Driven Programming: A Large Language Model Programming WorkflowChao Lei, Yanchuan Chang, N. Lipovetzky, Krista A. Ehinger · 2024 · Annual Meeting of the Association for Computational Linguistics
- Divide-and-Conquer: Automating Code Revisions via Localization-and-RevisionShangwen Wang, Bo Lin, Liqian Chen, Xiaoguang Mao · 2024 · ACM Transactions on Software Engineering and Methodology
- NLP4PBM: a systematic review on process extraction using natural language processing with rule-based, machine and deep learning methodsWilliam Van Woensel, Soroor Motie · 2024 · Enterprise Information Systems
- ZC3: Zero-Shot Cross-Language Code Clone DetectionJia Li, Chongyang Tao, Zhi Gang Jin, Fang Liu, Jia Li, Ge Li · 2023 · IEEE/ACM International Conference on Automated Software Engineering (ASE)
- Methods and Techniques of Agentic Software Engineering: A Systematic Literature ReviewNesreen A. Otoum, Nuha H. El-Khalili · 2026 · IEEE Access
- Towards a science exocortexYager, Kevin G. · 2024 · Digital Discovery
- PlayCoder: Making LLM-Generated GUI Code PlayableZhiyuan Peng, Wei Tao, Xin Yin, Chenhao Ying, Yuan Luo, Yiwen Guo · 2026 · Proceedings of the ACM on software engineering.
- Generative AI for Geospatial Analysis: Fine-Tuning ChatGPT to Convert Natural Language into Python-Based Geospatial ComputationsZachary Sherman, Sandesh Sharma Dulal, Jin-Hee Cho, Mengxi Zhang, Junghwan Kim · 2025 · ISPRS International Journal of Geo-Information