ICSE A*

246 papers

YearTitle / Authors
2025"Get Me in the Groove": a Mixed Methods Study on Supporting Adhd Professional Programmers.
Kaia Newman, Sarah Snay, Madeline Endres, Manasvi Parikh, Andrew Begel
2025$ZTD_{\text{JAVA}}$: Mitigating Software Supply Chain Vulnerabilities via Zero-Trust Dependencies.
Paschal C. Amusuo, Kyle A. Robinson, Tanmay Singla, Huiyun Peng, Aravind Machiry, Santiago Torres-Arias, Laurent Simon, James C. Davis
2025$\mu \text{PRL}$: A Mutation Testing Pipeline for Deep Reinforcement Learning Based on Real Faults.
Deepak-George Thomas, Matteo Biagiola, Nargiz Humbatova, Mohammad Wardat, Gunel Jahangirova, Hridesh Rajan, Paolo Tonella
20253DGen: AI-Assisted Generation of Provably Correct Binary Format Parsers.
Sarah Fakhoury, Markus Kuppe, Shuvendu K. Lahiri, Tahina Ramananandro, Nikhil Swamy
202547th IEEE/ACM International Conference on Software Engineering, ICSE 2025, Ottawa, ON, Canada, April 26 - May 6, 2025
2025A Catalog of Micro Frontends Anti-Patterns.
Nabson Paiva Souza da Silva, Eriky Rodrigues, Tayana Conte
2025A Differential Testing Framework to Identify Critical AV Failures Leveraging Arbitrary Inputs.
Trey Woodlief, Carl Hildebrandt, Sebastian G. Elbaum
2025A First Look at Conventional Commits Classification.
Qunhong Zeng, Yuxia Zhang, Zhiqing Qiu, Hui Liu
2025A Large-Scale Study of Model Integration in ML-Enabled Software Systems.
Yorick Sens, Henriette Knopp, Sven Peldszus, Thorsten Berger
2025A Little Goes a Long Way: Tuning Configuration Selection for Continuous Kernel Fuzzing.
Sanan Hasanov, Stefan Nagy, Paul Gazzillo
2025A Multi-Agent Approach for REST API Testing with Semantic Graphs and LLM-Driven Inputs.
Myeongsoo Kim, Tyler Stennett, Saurabh Sinha, Alessandro Orso
2025A Multiple Representation Transformer with Optimized Abstract Syntax Tree for Efficient Code Clone Detection.
Tianchen Yu, Li Yuan, Liannan Lin, Hongkui He
2025A Study of Undefined Behavior Across Foreign Function Boundaries in Rust Libraries.
Ian McCormack, Joshua Sunshine, Jonathan Aldrich
2025A Tale of Two DL Cities: When Library Tests Meet Compiler.
Qingchao Shen, Yongqiang Tian, Haoyang Ma, Junjie Chen, Lili Huang, Ruifeng Fu, Shing-Chi Cheung, Zan Wang
2025A Test Oracle for Reinforcement Learning Software Based on Lyapunov Stability Control Theory.
Shiyu Zhang, Haoyang Song, Qixin Wang, Henghua Shen, Yu Pei
2025ADAMAS: Adaptive Domain-Aware Performance Anomaly Detection in Cloud Service Systems.
Wenwei Gu, Jiazhen Gu, Jinyang Liu, Zhuangbin Chen, Jianping Zhang, Jinxi Kuang, Cong Feng, Yongqiang Yang, Michael R. Lyu
2025Accessibility Issues in Ad-Driven Web Applications.
Abdul Haddi Amjad, Muhammad Danish, Bless Jah, Muhammad Ali Gulzar
2025Accounting for Missing Events in Statistical Information Leakage Analysis.
Seongmin Lee, Shreyas Minocha, Marcel Böhme
2025Aligning the Objective of LLM-Based Program Repair.
Junjielong Xu, Ying Fu, Shin Hwei Tan, Pinjia He
2025An Empirical Study of Proxy Contracts at the Ethereum Ecosystem Scale.
Mengya Zhang, Preksha Shukla, Wuqi Zhang, Zhuo Zhang, Pranav Agrawal, Zhiqiang Lin, Xiangyu Zhang, Xiaokuan Zhang
2025An Empirical Study on Automatically Detecting AI-Generated Source Code: How Far are We?
Hyunjae Suh, Mahan Tafreshipour, Jiawei Li, Adithya Bhattiprolu, Iftekhar Ahmed
2025An Empirical Study on Commit Message Generation Using LLMs via In-Context Learning.
Yifan Wu, Yunpeng Wang, Ying Li, Wei Tao, Siyu Yu, Haowen Yang, Wei Jiang, Jianguo Li
2025An Empirical Study on Package-Level Deprecation in Python Ecosystem.
Zhiqing Zhong, Shilin He, Haoxuan Wang, Boxi Yu, Haowen Yang, Pinjia He
2025An Empirical Study on Reproducible Packaging in Open-Source Ecosystems.
Giacomo Benedetti, Oreofe Solarin, Courtney Miller, Greg Tystahl, William Enck, Christian Kästner, Alexandros Kapravelos, Alessio Merlo, Luca Verderame
2025An Exploratory Study of ML Sketches and Visual Code Assistants.
Luís F. Gomes, Vincent J. Hellendoorn, Jonathan Aldrich, Rui Abreu
2025An Exploratory Study on the Engineering of Security Features.
Kevin Hermann, Sven Peldszus, Jan-Philipp Steghöfer, Thorsten Berger
2025An Extensive Empirical Study of Nondeterministic Behavior in Static Analysis Tools.
Miao Miao, Austin Mordahl, Dakota Soles, Alice Beideck, Shiyi Wei
2025An LLM-Based Agent-Oriented Approach for Automated Code Design Issue Localization.
Fraol Batole, David O'Brien, Tien N. Nguyen, Robert Dyer, Hridesh Rajan
2025Analyzing the Feasibility of Adopting Google's Nonce-Based CSP Solutions on Websites.
Mengxia Ren, Anhao Xiang, Chuan Yue
2025Answering User Questions About Machine Learning Models Through Standardized Model Cards.
Tajkia Rahman Toma, Balreet Grewal, Cor-Paul Bezemer
2025Are LLMs Correctly Integrated into Software Systems?
Yuchen Shao, Yuheng Huang, Jiawei Shen, Lei Ma, Ting Su, Chengcheng Wan
2025Are We Learning the Right Features? A Framework for Evaluating DL-Based Software Vulnerability Detection Solutions.
Satyaki Das, Syeda Tasnim Fabiha, Saad Shafiq, Nenad Medvidovic
2025AssetHarvester: A Static Analysis Tool for Detecting Secret-Asset Pairs in Software Artifacts.
Setu Kumar Basak, K. Virgil English, Ken Ogura, Vitesh Kambara, Bradley Reaves, Laurie A. Williams
2025Automated Accessibility Analysis of Dynamic Content Changes on Mobile Apps.
Forough Mehralian, Ziyao He, Sam Malek
2025Automated Generation of Accessibility Test Reports from Recorded User Transcripts.
Syed Fatiul Huq, Mahan Tafreshipour, Kate Kalcevich, Sam Malek
2025Automated Test Generation For Smart Contracts via On-Chain Test Case Augmentation and Migration.
Jiashuo Zhang, Jiachi Chen, John Grundy, Jianbo Gao, Yanlin Wang, Ting Chen, Zhi Guan, Zhong Chen
2025Automated, Unsupervised, and Auto-Parameterized Inference of Data Patterns and Anomaly Detection.
Qiaolin Qin, Heng Li, Ettore Merlo, Maxime Lamothe
2025Automating a Complete Software Test Process Using LLMs: An Automotive Case Study.
Shuai Wang, Yinan Yu, Robert Feldt, Dhasarathy Parthasarathy
2025BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks.
Yisong Xiao, Aishan Liu, Xinwei Zhang, Tianyuan Zhang, Tianlin Li, Siyuan Liang, Xianglong Liu, Yang Liu, Dacheng Tao
2025BSan: A Powerful Identifier-Based Hardware-Independent Memory Error Detector for COTS Binaries.
Wen Zhang, Botang Xiao, Qingchen Kong, Le Guan, Wenwen Wang
2025Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers.
Yuling Shi, Hongyu Zhang, Chengcheng Wan, Xiaodong Gu
2025Boosting Code-line-level Defect Prediction with Spectrum Information and Causality Analysis.
Shiyu Sun, Yanhui Li, Lin Chen, Yuming Zhou, Jianhua Zhao
2025Boosting Path-Sensitive Value Flow Analysis Via Removal of Redundant Summaries.
Yongchao Wang, Yuandao Cai, Charles Zhang
2025Boosting Static Resource Leak Detection via LLM-based Resource-Oriented Intention Inference.
Chong Wang, Jianan Liu, Xin Peng, Yang Liu, Yiling Lou
2025COCA: Generative Root Cause Analysis for Distributed Systems with Code Knowledge.
Yichen Li, Yulun Wu, Jinyang Liu, Zhihan Jiang, Zhuangbin Chen, Guangba Yu, Michael R. Lyu
2025Calibration and Correctness of Language Models for Code.
Claudio Spiess, David Gros, Kunal Suresh Pai, Michael Pradel, Md. Rafiqul Islam Rabin, Amin Alipour, Susmit Jha, Prem Devanbu, Toufique Ahmed
2025Can an LLM Find Its Way Around a Spreadsheet?
Cho-Ting Lee, Andrew Neeser, Shengzhe Xu, Jay Katyan, Patrick Cross, Sharanya Pathakota, Marigold Norman, John Simeone, Jaganmohan Chandrasekaran, Naren Ramakrishnan
2025Chatgpt Inaccuracy Mitigation During Technical Report Understanding: Are we There Yet?
Salma Begum Tamanna, Gias Uddin, Song Wang, Lan Xia, Longyu Zhang
2025Chatgpt-Based Test Generation for Refactoring Engines Enhanced by Feature Analysis on Examples.
Chunhao Dong, Yanjie Jiang, Yuxia Zhang, Yang Zhang, Hui Liu
2025Chord: Towards a Unified Detection of Blockchain Transaction Parallelism Bugs.
Yuanhang Zhou, Zhen Yan, Yuanliang Chen, Fuchen Ma, Ting Chen, Yu Jiang
2025Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDE.
Benjamin Steenhoek, Kalpathy Sivaraman, Renata Saldivar Gonzalez, Yevhen Mohylevskyy, Roshanak Zilouchian Moghaddam, Wei Le
2025Clozemaster: Fuzzing Rust Compiler by Harnessing Llms for Infilling Masked Real Programs.
Hongyan Gao, Yibiao Yang, Maolin Sun, Jiangchang Wu, Yuming Zhou, Baowen Xu
2025Code Cloning in Solidity Smart Contracts: Prevalence, Evolution, and Impact on Development.
Ran Mo, Haopeng Song, Wei Ding, Chaochao Wu
2025Code Comment Inconsistency Detection and Rectification Using a Large Language Model.
Guoping Rong, Yongda Yu, Song Liu, Xin Tan, Tianyi Zhang, Haifeng Shen, Jidong Hu
2025Code Today, Deadline Tomorrow: Procrastination Among Software Developers.
Zeinabsadat Saghi, Thomas Zimmermann, Souti Chattopadhyay
2025CodeImprove: Program Adaptation for Deep Code Models.
Ravishka Rathnasuriya, Zijie Zhao, Wei Yang
2025Combining Fine-Tuning and LLM-Based Agents for Intuitive Smart Contract Auditing with Justifications.
Wei Ma, Daoyuan Wu, Yuqiang Sun, Tianwen Wang, Shangqing Liu, Jian Zhang, Yue Xue, Yang Liu
2025Coni: Detecting Database Connector Bugs via State-Aware Test Case Generation.
Wenqian Deng, Jie Liang, Zhiyong Wu, Jingzhou Fu, Mingzhe Wang, Yu Jiang
2025ConsCS: Effective and Efficient Verification of Circom Circuits.
Jinan Jiang, Xinghao Peng, Jinzhao Chu, Xiapu Luo
2025Constrained LTL Specification Learning from Examples.
Changjian Zhang, Parv Kapoor, Ian Dardik, Leyi Cui, Rômulo Meira-Góes, David Garlan, Eunsuk Kang
2025Context Conquers Parameters: Outperforming Proprietary Llm in Commit Message Generation.
Aaron Imani, Iftekhar Ahmed, Mohammad Moshirpour
2025Cooperative Software Verification via Dynamic Program Splitting.
Cedric Richter, Marek Chalupa, Marie-Christine Jakobs, Heike Wehrheim
2025Critical Variable State-Aware Directed Greybox Fuzzing.
Xu Chen, Ningning Cui, Zhe Pan, Liwei Chen, Gang Shi, Dan Meng
2025DPFuzzer: Discovering Safety Critical Vulnerabilities for Drone Path Planners.
Yue Wang, Chao Yang, Xiaodong Zhang, Yuwanqi Deng, Jianfeng Ma
2025Datalog-Based Language-Agnostic Change Impact Analysis for Microservices.
Qingkai Shi, Xiaoheng Xie, Xianjin Fu, Peng Di, Huawei Li, Ang Zhou, Gang Fan
2025Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems.
Mingfei Cheng, Xiaofei Xie, Yuan Zhou, Junjie Wang, Guozhu Meng, Kairui Yang
2025Decoding Secret Memorization in Code LLMs Through Token-Level Characterization.
Yuqing Nie, Chong Wang, Kailong Wang, Guoai Xu, Guosheng Xu, Haoyu Wang
2025Decoding the Issue Resolution Process in Practice via Issue Report Analysis: a Case Study of Firefox.
Antu Saha, Oscar Chaparro
2025Deep Learning-based Code Reviews: A Paradigm Shift or a Double-Edged Sword?
Rosalia Tufano, Alberto Martin-Lopez, Ahmad Tayeb, Ozren Dabic, Sonia Haiduc, Gabriele Bavota
2025Definition and Detection of Centralization Defects in Smart Contracts.
Zewei Lin, Jiachi Chen, Jiajing Wu, Weizhe Zhang, Zibin Zheng
2025Demystifying and Detecting Cryptographic Defects in Ethereum Smart Contracts.
Jiashuo Zhang, Yiming Shen, Jiachi Chen, Jianzhong Su, Yanlin Wang, Ting Chen, Jianbo Gao, Zhong Chen
2025DesignRepair: Dual-Stream Design Guideline-Aware Frontend Repair with Large Language Models.
Mingyue Yuan, Jieshan Chen, Zhenchang Xing, Aaron Quigley, Yuyu Luo, Tianqi Luo, Gelareh Mohammadi, Qinghua Lu, Liming Zhu
2025Dissecting Global Search: A Simple Yet Effective Method to Boost Individual Discrimination Testing and Repair.
Lili Quan, Tianlin Li, Xiaofei Xie, Zhenpeng Chen, Sen Chen, Lingxiao Jiang, Xiaohong Li
2025Distilled Lifelong Self-Adaptation for Configurable Systems.
Yulong Ye, Tao Chen, Miqing Li
2025Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software.
Zhenpeng Chen, Xinyue Li, Jie M. Zhang, Federica Sarro, Yang Liu
2025Dockerfile Flakiness: Characterization and Repair.
Taha Shabani, Noor Nashid, Parsa Alian, Ali Mesbah
2025Does GenAI Make Usability Testing Obsolete?
Ali Ebrahimi Pourasad, Walid Maalej
2025EP-Detector: Automatic Detection of Error-Prone Operation Anomalies in Android Applications.
Chenkai Guo, Qianlu Wang, Naipeng Dong, Lingling Fan, Tianhong Wang, Weijie Zhang, Enbao Chen, Zheli Liu, Lu Yu
2025Early Detection of Performance Regressions by Bridging Local Performance Data and Architectural Models.
Lizhi Liao, Simon Eismann, Heng Li, Cor-Paul Bezemer, Diego Elias Costa, André van Hoorn, Weiyi Shang
2025EffBT: An Efficient Behavior Tree Reactive Synthesis and Execution Framework.
Ziji Wu, Yu Huang, Peishan Huang, Shanghua Wen, Minglong Li, Ji Wang
2025Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models.
Luciano Baresi, Davide Yi Xian Hu, Andrea Stocco, Paolo Tonella
2025Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding.
Yifeng Di, Tianyi Zhang
2025Enhancing Fault Localization in Industrial Software Systems via Contrastive Learning.
Chun Li, Hui Li, Zhong Li, Minxue Pan, Xuandong Li
2025Enhancing the Open Network: Definition and Automated Detection of Smart Contract Defects.
Hao Song, Teng Li, Jiachi Chen, Ting Chen, Beibei Li, Zhangyan Lin, Yi Lu, Pan Li, Xihan Zhou
2025Evaluating Garbage Collection Performance Across Managed Language Runtimes.
Yicheng Wang, Wensheng Dou, Yu Liang, Yi Wang, Wei Wang, Jun Wei, Tao Huang
2025Execution Trace Reconstruction Using Diffusion-Based Generative Models.
Madeline Janecek, Naser Ezzati-Jivan, Abdelwahab Hamou-Lhadj
2025Exploring the Robustness of the Effect of EVO on Intention Valuation Through Replication.
Yesugen Baatartogtokh, Kaitlyn Cook, Alicia M. Grubb
2025Exposing the Hidden Layer: Software Repositories in the Service of Seo Manipulation.
Mengying Wu, Geng Hong, Wuyuao Mai, Xinyi Wu, Lei Zhang, Yingyuan Pu, Huajun Chai, Lingyun Ying, Haixin Duan, Min Yang
2025FIXDRIVE: Automatically Repairing Autonomous Vehicle Driving Behaviour for $0.08 per Violation.
Yang Sun, Christopher M. Poskitt, Kun Wang, Jun Sun
2025FairChecker: Detecting Fund-Stealing Bugs in DeFi Protocols via Fairness Validation.
Yi Sun, Zhuo Zhang, Xiangyu Zhang
2025FairSense: Long-Term Fairness Analysis of ML-Enabled Systems.
Yining She, Sumon Biswas, Christian Kästner, Eunsuk Kang
2025Fairness Testing Through Extreme Value Theory.
Verya Monjezi, Ashutosh Trivedi, Vladik Kreinovich, Saeid Tizpaz-Niari
2025Fairquant: Certifying and Quantifying Fairness of Deep Neural Networks.
Brian Hyeongseok Kim, Jingbo Wang, Chao Wang
2025Famos: Fault Diagnosis for Microservice Systems Through Effective Multi-Modal Data Fusion.
Chiming Duan, Yong Yang, Tong Jia, Guiyang Liu, Jinbu Liu, Huxing Zhang, Qi Zhou, Ying Li, Gang Huang
2025Faster Configuration Performance Bug Testing with Neural Dual-Level Prioritization.
Youpeng Ma, Tao Chen, Ke Li
2025Feature-Driven End-to-End Test Generation.
Parsa Alian, Noor Nashid, Mobina Shahbandeh, Taha Shabani, Ali Mesbah
2025Fidelity of Cloud Emulators: The Imitation Game of Testing Cloud-Based Software.
Anna Mazhar, Saad Sher Alam, William X. Zheng, Yinfang Chen, Suman Nath, Tianyin Xu
2025Fixing Large Language Models' Specification Misunderstanding for Better Code Generation.
Zhao Tian, Junjie Chen, Xiangyu Zhang
2025Fork State-Aware Differential Fuzzing for Blockchain Consensus Implementations.
Wonhoi Kim, Hocheol Nam, Muoi Tran, Amin Jalilov, Zhenkai Liang, Sang Kil Cha, Min Suk Kang
2025Formally Verified Binary-Level Pointer Analysis.
Freek Verbeek, Ali Shokri, Daniel Engel, Binoy Ravindran
2025Formally Verified Cloud-Scale Authorization.
Aleks Chakarov, Jaco Geldenhuys, Matthew Heck, Michael Hicks, Sam Huang, Georges-Axel Jaloyan, Anjali Joshi, K. Rustan M. Leino, Mikael Mayer, Sean McLaughlin, Akhilesh Mritunjai, Clément Pit-Claudel, Sorawee Porncharoenwase, Florian Rabe, Marianna Rapoport, Giles Reger, Cody Roux, Neha Rungta, Robin Salkeld, Matthias Schlaipfer, Daniel Schoepe, Johanna Schwartzentruber, Serdar Tasiran, Aaron Tomb, Emina Torlak, Jean-Baptiste Tristan, Lucas G. Wagner, Michael W. Whalen, Remy Willems, Tongtong Xiang, Tae Joon Byun, Joshua M. Cohen, Ruijie Fang, Junyoung Jang, Jakob Rath, Hira Taqdees Syeda, Dominik Wagner, Yongwei Yuan
2025From Bugs to Benefits: Improving User Stories by Leveraging Crowd Knowledge with CrUISE-AC.
Stefan Schwedt, Thomas Ströder
2025Fuzzing MLIR Compilers with Custom Mutation Synthesis.
Ben Limpanukorn, Jiyuan Wang, Hong Jin Kang, Eric Zitong Zhou, Miryung Kim
2025GARL: Genetic Algorithm-Augmented Reinforcement Learning to Detect Violations in Marker-Based Autonomous Landing Systems.
Linfeng Liang, Yao Deng, Kye Morton, Valtteri Kallinen, Alice James, Avishkar Seth, Endrowednes Kuantama, Subhas Mukhopadhyay, Richard Han, Xi Zheng
2025GVI: Guided Vulnerability Imagination for Boosting Deep Vulnerability Detectors.
Heng Yong, Zhong Li, Minxue Pan, Tian Zhang, Jianhua Zhao, Xuandong Li
2025GenC2Rust: Towards Generating Generic Rust Code from C.
Xiafa Wu, Brian Demsky
2025Gpass: A Goal-Adaptive Neural Theorem Prover Based on Coq for Automated Formal Verification.
Yizhou Chen, Zeyu Sun, Guoqing Wang, Dan Hao
2025HIFI: Explaining and Mitigating Algorithmic Bias Through the Lens of Game-Theoretic Interactions.
Lingfeng Zhang, Zhaohui Wang, Yueling Zhang, Min Zhang, Jiangtao Wang
2025Hedgecode: A Multi-Task Hedging Contrastive Learning Framework for Code Search.
Gong Chen, Xiaoyuan Xie, Daniel Tang, Qi Xin, Wenjie Liu
2025Hetrify: Efficient Verification of Heterogeneous Programs on RISC-V.
Yiwei Li, Liangze Yin, Wei Dong, Jiaxin Liu, Yanfeng Hu, Shanshan Li
2025Hints Help Finding and Fixing Bugs Differently in Python and Text-Based Program Representations.
Ruchit Rawal, Victor-Alexandru Padurean, Sven Apel, Adish Singla, Mariya Toneva
2025How Scientists Use Jupyter Notebooks: Goals, Quality Attributes, and Opportunities.
Ruanqianqian (Lisa) Huang, Savitha Ravi, Michael He, Boyu Tian, Sorin Lerner, Michael Coblenz
2025HumanEvo: An Evolution-Aware Benchmark for More Realistic Evaluation of Repository-Level Code Generation.
Dewu Zheng, Yanlin Wang, Ensheng Shi, Ruikai Zhang, Yuchi Ma, Hongyu Zhang, Zibin Zheng
2025Hyperion: Unveiling DApp Inconsistencies Using LLM and Dataflow-Guided Symbolic Execution.
Shuo Yang, Xingwei Lin, Jiachi Chen, Qingyuan Zhong, Lei Xiao, Renke Huang, Yanlin Wang, Zibin Zheng
2025INTERTRANS: Leveraging Transitive Intermediate Translations to Enhance LLM-Based Code Translation.
Marcos Macedo, Yuan Tian, Pengyu Nie, Filipe Roseiro Côgo, Bram Adams
2025IRFuzzer: Specialized Fuzzing for LLVM Backend Code Generation.
Yuyang Rong, Zhanghan Yu, Zhenkai Weng, Stephen Neuendorffer, Hao Chen
2025Improved Detection and Diagnosis of Faults in Deep Neural Networks Using Hierarchical and Explainable Classification.
Sigma Jahan, Mehil B. Shah, Parvez Mahbub, Mohammad Masudur Rahman
2025Increasing the Effectiveness of Automatically Generated Tests by Improving Class Observability.
Geraldine Galindo-Gutierrez, Juan Pablo Sandoval Alcocer, Nicolas Jimenez-Fuentes, Alexandre Bergel, Gordon Fraser
2025Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering.
Tanghaoran Zhang, Yue Yu, Xinjun Mao, Shangwen Wang, Kang Yang, Yao Lu, Zhang Zhang, Yuxin Zhao
2025Instrumentation-Driven Evolution-Aware Runtime Verification.
Kevin Guan, Owolabi Legunsen
2025Insvdf: Interface-State-Aware Virtual Device Fuzzing.
Zexiang Zhang, Gaoning Pan, Ruipeng Wang, Yiming Tao, Zulie Pan, Cheng Tu, Min Zhang, Yang Li, Yi Shen, Chunming Wu
2025Intention is All you Need: Refining your Code from your Intention.
Qi Guo, Xiaofei Xie, Shangqing Liu, Ming Hu, Xiaohong Li, Lei Bu
2025Interactive Cross-Language Pointer Analysis for Resolving Native Code in Java Programs.
Chenxi Zhang, Yufei Liang, Tian Tan, Chang Xu, Shuangxiang Kan, Yulei Sui, Yue Li
2025Investigating the Impact of Interpersonal Challenges on Feeling Welcome in OSS.
Bianca Trinkenreich, Zixuan Feng, Rudrajit Choudhuri, Marco Aurélio Gerosa, Anita Sarma, Igor Steinmacher
2025Invivo Fuzzing by Amplifying Actual Executions.
Octavio Galland, Marcel Böhme
2025Iterative Generation of Adversarial Example for Deep Code Models.
Li Huang, Weifeng Sun, Meng Yan
2025Janus: Detecting Rendering Bugs in Web Browsers via Visual Delta Consistency.
Chijin Zhou, Quan Zhang, Bingzhou Qian, Yu Jiang
2025Knowledge-Enhanced Program Repair for Data Science Code.
Shuyin Ouyang, Jie M. Zhang, Zeyu Sun, Albert Meroño-Peñuela
2025LLM Assistance for Memory Safety.
J. Nausheen Mohammed, Akash Lal, Aseem Rastogi, Rahul Sharma, Subhajit Roy
2025LLM Based Input Space Partitioning Testing for Library APIs.
Jiageng Li, Zhen Dong, Chong Wang, Haozhen You, Cen Zhang, Yang Liu, Xin Peng
2025LLM-Agents Driven Automated Simulation Testing and Analysis of small Uncrewed Aerial Systems.
Venkata Sai Aswath Duvvuru, Bohan Zhang, Michael Vierhauser, Ankit Agrawal
2025LLM-Aided Automatic Modeling for Security Protocol Verification.
Ziyu Mao, Jingyi Wang, Jun Sun, Shengchao Qin, Jiawen Xiong
2025LLMs Meet Library Evolution: Evaluating Deprecated API Usage in LLM-Based Code Completion.
Chong Wang, Kaifeng Huang, Jian Zhang, Yebo Feng, Lyuye Zhang, Yang Liu, Xin Peng
2025LWDIFF: an LLM-Assisted Differential Testing Framework for Webassembly Runtimes.
Shiyao Zhou, Jincheng Wang, He Ye, Hao Zhou, Claire Le Goues, Xiapu Luo
2025Large Language Models as Configuration Validators.
Xinyu Lian, Yinfang Chen, Runxiang Cheng, Jie Huang, Parth Thakkar, Minjia Zhang, Tianyin Xu
2025Large Language Models for Safe Minimization.
Aashish Yadavally, Xiaokai Rong, Phat Nguyen, Tien N. Nguyen
2025Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests.
Amirhossein Deljouyi, Roham Koohestani, Maliheh Izadi, Andy Zaidman
2025Leveraging Large Language Models to Detect NPM Malicious Packages.
Nusrat Zahan, Philipp Burckhardt, Mikola Lysenko, Feross Aboukhadijeh, Laurie A. Williams
2025Leveraging Propagated Infection to Crossfire Mutants.
Hang Du, Vijay Krishna Palepu, James A. Jones
2025LiSSA: Toward Generic Traceability Link Recovery Through Retrieval- Augmented Generation.
Dominik Fuchß, Tobias Hey, Jan Keim, Haoyu Liu, Niklas Ewald, Tobias Thirolf, Anne Koziolek
2025LibreLog: Accurate and Efficient Unsupervised Log Parsing Using Open-Source Large Language Models.
Zeyang Ma, Dong Jae Kim, Tse-Hsun Peter Chen
2025Licoeval: Evaluating LLMs on License Compliance in Code Generation.
Weiwei Xu, Kai Gao, Hao He, Minghui Zhou
2025Lightweight Concolic Testing via Path-Condition Synthesis for Deep Learning Libraries.
Sehoon Kim, Yonghyeon Kim, Dahyeon Park, Yuseok Jeon, Jooyong Yi, Mijung Kim
2025MAGIKA: AI-Powered Content-Type Detection.
Yanick Fratantonio, Luca Invernizzi, Loua Farah, Kurt Thomas, Marina Zhang, Ange Albertini, Francois Galilee, Giancarlo Metitieri, Julien Cretin, Alex Petit-Bianco, David Tao, Elie Bursztein
2025MARQ: Engineering Mission-Critical AI-Based Software with Automated Result Quality Adaptation.
Uwe Gropengießer, Elias Dietz, Florian Brandherm, Achref Doula, Osama Abboud, Xun Xiao, Max Mühlhäuser
2025Measuring the Runtime Performance of C++ Code Written by Humans Using Github Copilot.
Daniel Erhabor, Sreeharsha Udayashankar, Meiyappan Nagappan, Samer Al-Kiswany
2025Metamorphic-Based Many-Objective Distillation of LLMs for Code-Related Tasks.
Annibale Panichella
2025Mobile Application Coverage: The 30% Curse and Ways Forward.
Faridah Akinotcho, Lili Wei, Julia Rubin
2025Mock Deep Testing: Toward Separate Development of Data and Models for Deep Learning.
Ruchira Manke, Mohammad Wardat, Foutse Khomh, Hridesh Rajan
2025Model Editing for LLMs4Code: How Far are we?
Xiaopeng Li, Shangwen Wang, Shasha Li, Jun Ma, Jie Yu, Xiaodong Liu, Jing Wang, Bin Ji, Weimin Zhang
2025Module-Aware Context Sensitive Pointer Analysis.
Haofeng Li, Chenghang Shi, Jie Lu, Lian Li, Zixuan Zhao
2025Moye: A Wallbreaker for Monolithic Firmware.
Jintao Huang, Kai Yang, Gaosheng Wang, Zhiqiang Shi, Zhiwen Pan, Shichao Lv, Limin Sun
2025NIODebugger: A Novel Approach to Repair Non-Idempotent-Outcome Tests with LLM-Based Agent.
Kaiyao Ke
2025Navigating the Testing of Evolving Deep Learning Systems: An Exploratory Interview Study.
Hanmo You, Zan Wang, Bin Lin, Junjie Chen
2025Neurosymbolic Modular Refinement Type Inference.
Georgios Sakkas, Pratyush Sahu, Kyeling Ong, Ranjit Jhala
2025No Harness, No Problem: Oracle-guided Harnessing for Auto-generating C API Fuzzing Harnesses.
Gabriel Sherman, Stefan Nagy
2025On Prescription or Off Prescription? An Empirical Study of Community-Prescribed Security Configurations for Kubernetes.
Shazibul Islam Shamim, Hanyang Hu, Akond Rahman
2025On the Mistaken Assumption of Interchangeable Deep Reinforcement Learning Implementations.
Rajdeep Singh Hundal, Yan Xiao, Xiaochun Cao, Jin Song Dong, Manuel Rigger
2025PUPPY: Finding Performance Degradation Bugs in DBMSs via Limited-Optimization Plan Construction.
Zhiyong Wu, Jie Liang, Jingzhou Fu, Mingzhe Wang, Yu Jiang
2025PacDroid: A Pointer-Analysis-Centric Framework for Security Vulnerabilities in Android Apps.
Menglong Chen, Tian Tan, Minxue Pan, Yue Li
2025PairSmell: A Novel Perspective Inspecting Software Modular Structure.
Chenxing Zhong, Daniel Feitosa, Paris Avgeriou, Huang Huang, Yue Li, He Zhang
2025Parametric Falsification of Many Probabilistic Requirements Under Flakiness.
Matteo Camilli, Raffaela Mirandola
2025Patch Synthesis for Property Repair of Deep Neural Networks.
Zhiming Chi, Jianan Ma, Pengfei Yang, Cheng-Chao Huang, Renjue Li, Jingyi Wang, Xiaowei Huang, Lijun Zhang
2025Pattern-Based Generation and Adaptation of Quantum Workflows.
Martin Beisel, Johanna Barzen, Frank Leymann, Lavinia Stiliadou, Daniel Vietz, Benjamin Weder
2025Planning a Large Language Model for Static Detection of Runtime Errors in Code Snippets.
Smit Patel, Aashish Yadavally, Hridya Dhulipala, Tien N. Nguyen
2025Practical Object-Level Sanitizer with Aggregated Memory Access and Custom Allocator.
Xiaolei Wang, Ruilin Li, Bin Zhang, Chao Feng, Chaojing Tang
2025Preserving Privacy in Software Composition Analysis: A Study of Technical Solutions and Enhancements.
Huaijin Wang, Zhibo Liu, Yanbo Dai, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu
2025Prompt-to-SQL Injections in LLM-Integrated Web Applications: Risks and Defenses.
Rodrigo Pedro, Miguel E. Coimbra, Daniel Castro, Paulo Carreira, Nuno Santos
2025QEDCartographer: Automating Formal Verification Using Reward-Free Reinforcement Learning.
Alex Sanchez-Stern, Abhishek Varghese, Zhanna Kaufman, Shizhuo Dylan Zhang, Talia Ringer, Yuriy Brun
2025RLCoder: Reinforcement Learning for Repository-Level Code Completion.
Yanlin Wang, Yanli Wang, Daya Guo, Jiachi Chen, Ruikai Zhang, Yuchi Ma, Zibin Zheng
2025ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation.
Xue Jiang, Yihong Dong, Yongding Tao, Huanyu Liu, Zhi Jin, Ge Li
2025ROSA: Finding Backdoors with Fuzzing.
Dimitri Kokkonis, Michaël Marcozzi, Emilien Decoux, Stefano Zacchiroli
2025Rango: Adaptive Retrieval-Augmented Proving for Automated Software Verification.
Kyle Thompson, Nuno Saavedra, Pedro Carrott, Kevin Fisher, Alex Sanchez-Stern, Yuriy Brun, João F. Ferreira, Sorin Lerner, Emily First
2025Ranking Relevant Tests for Order-Dependent Flaky Tests.
Shanto Rahman, Bala Naren Chanumolu, Suzzana Rafi, August Shi, Wing Lam
2025Reasoning Runtime Behavior of a Program with LLM: How Far are We?
Junkai Chen, Zhiyuan Pan, Xing Hu, Zhenhao Li, Ge Li, Xin Xia
2025RediI: Test Infrastructure to Enable Deterministic Reproduction of Failures for Distributed Systems.
Yang Feng, Zheyuan Lin, Dongchen Zhao, Mengbo Zhou, Jia Liu, James A. Jones
2025Reduce Dependence for Sound Concurrency Bug Prediction.
Shihao Zhu, Yuqi Guo, Yan Cai, Bin Liang, Long Zhang, Rui Chen, Tingting Yu
2025Relationship Status: "It's Complicated" Developer-Security Expert Dynamics in Scrum.
Houda Naji, Marco Gutfleisch, Alena Naiakshina
2025RepairAgent: An Autonomous, LLM-Based Agent for Program Repair.
Islem Bouzenia, Premkumar T. Devanbu, Michael Pradel
2025Repository-Level Graph Representation Learning for Enhanced Security Patch Detection.
Xin-Cheng Wen, Zirui Lin, Cuiyun Gao, Hongyu Zhang, Yong Wang, Qing Liao
2025Revisiting Unnaturalness for Automated Program Repair in the Era of Large Language Models.
Aidan Z. H. Yang, Sophia Kolak, Vincent J. Hellendoorn, Ruben Martins, Claire Le Goues
2025Rug: Turbo Llm for Rust Unit Test Generation.
Xiang Cheng, Fan Sang, Yizhuo Zhai, Xiaokuan Zhang, Taesoo Kim
2025RustAssistant: Using LLMs to Fix Compilation Errors in Rust Code.
Pantazis Deligiannis, Akash Lal, Nikita Mehrotra, Rishi Poddar, Aseem Rastogi
2025SECRET: Towards Scalable and Efficient Code Retrieval via Segmented Deep Hashing.
Wenchao Gu, Ensheng Shi, Yanlin Wang, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Michael R. Lyu
2025SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents.
Feng Lin, Dong Jae Kim, Tse-Hsun Chen
2025Sand: Decoupling Sanitization from Fuzzing for Low Overhead.
Ziqiao Kong, Shaohua Li, Heqing Huang, Zhendong Su
2025Scenario-Driven and Context-Aware Automated Accessibility Testing for Android Apps.
Yuxin Zhang, Sen Chen, Xiaofei Xie, Zibo Liu, Lingling Fan
2025Search-Based LLMs for Code Optimization.
Shuzheng Gao, Cuiyun Gao, Wenchao Gu, Michael R. Lyu
2025SeeAction: Towards Reverse Engineering How-What-Where of HCI Actions from Screencasts for UI Automation.
Dehai Zhao, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu
2025Selecting Initial Seeds for Better JVM Fuzzing.
Tianchang Gao, Junjie Chen, Dong Wang, Yile Guo, Yingquan Zhao, Zan Wang
2025Show Me Your Code! Kill Code Poisoning: A Lightweight Method Based on Code Naturalness.
Weisong Sun, Yuchen Chen, Mengzhe Yuan, Chunrong Fang, Zhenpeng Chen, Chong Wang, Yang Liu, Baowen Xu, Zhenyu Chen
2025Similar but Patched Code Considered Harmful: The Impact of Similar but Patched Code on Recurring Vulnerability Detection and How to Remove Them.
Zixuan Tan, Jiayuan Zhou, Xing Hu, Shengyi Pan, Kui Liu, Xin Xia
2025Smartreco: Detecting Read-Only Reentrancy via Fine-Grained Cross-DApp Analysis.
Jingwen Zhang, Zibin Zheng, Yuhong Nan, Mingxi Ye, Kaiwen Ning, Yu Zhang, Weizhe Zhang
2025Software Model Evolution with Large Language Models: Experiments on Simulated, Public, and Industrial Datasets.
Christof Tinnes, Alisa Welter, Sven Apel
2025Source Code Summarization in the Era of Large Language Models.
Weisong Sun, Yun Miao, Yuekang Li, Hongyu Zhang, Chunrong Fang, Yi Liu, Gelei Deng, Yang Liu, Zhenyu Chen
2025SpecGen: Automated Generation of Formal Program Specifications via Large Language Models.
Lezhi Ma, Shangqing Liu, Yi Li, Xiaofei Xie, Lei Bu
2025SpecRover: Code Intent Extraction via LLMs.
Haifeng Ruan, Yuntong Zhang, Abhik Roychoudhury
2025Static Analysis of Remote Procedure Call in Java Programs.
Baoquan Cui, Rong Qu, Zhen Tang, Jian Zhang
2025Studying Programmers Without Programming: Investigating Expertise Using Resting State fMRI.
Zachary Karas, Benjamin Gold, Violet Zhou, Noah Reardon, Thad Polk, Catie Chang, Yu Huang
2025Synthesizing Document Database Queries Using Collection Abstractions.
Qikang Liu, Yang He, Yanwen Cai, Byeongguk Kwak, Yuepeng Wang
2025TIGER: A Generating-Then-Ranking Framework for Practical Python Type Inference.
Chong Wang, Jian Zhang, Yiling Lou, Mingwei Liu, Weisong Sun, Yang Liu, Xin Peng
2025TOGLL: Correct and Strong Test Oracle Generation with LLMS.
Soneya Binta Hossain, Matthew B. Dwyer
2025TacDroid: Detection of Illicit Apps Through Hybrid Analysis of UI-Based Transition Graphs.
Yanchen Lu, Hongyu Lin, Zehua He, Haitao Xu, Zhao Li, Shuai Hao, Liu Wang, Haoyu Wang, Kui Ren
2025Template-Guided Program Repair in the Era of Large Language Models.
Kai Huang, Jian Zhang, Xiangxin Meng, Yang Liu
2025Test Intention Guided LLM-Based Unit Test Generation.
Zifan Nan, Zhaoqiang Guo, Kui Liu, Xin Xia
2025Testing and Understanding Deviation Behaviors in FHE-Hardened Machine Learning Models.
Yiteng Peng, Daoyuan Wu, Zhibo Liu, Dongwei Xiao, Zhenlan Ji, Juergen Rahmel, Shuai Wang
2025Thanos: DBMS Bug Detection via Storage Engine Rotation Based Differential Testing.
Ying Fu, Zhiyong Wu, Yuanliang Zhang, Jie Liang, Jingzhou Fu, Yu Jiang, Shanshan Li, Xiangke Liao
2025The Design Smells Breaking the Boundary between Android Variants and AOSP.
Wuxia Jin, Jiaowei Shang, Jianguo Zheng, Mengjie Sun, Zhenyu Huang, Ming Fan, Ting Liu
2025The Fact Selection Problem in LLM-Based Program Repair.
Nikhil Parasaram, Huijie Yan, Boyu Yang, Zineb Flahy, Abriele Qudsi, Damian Ziaber, Earl T. Barr, Sergey Mechtaev
2025The Power of Types: Exploring the Impact of Type Checking on Neural Bug Detection in Dynamically Typed Languages.
Boqi Chen, José Antonio Hernández López, Gunter Mussbacher, Dániel Varró
2025The Product Beyond the Model - An Empirical Study of Repositories of Open-Source ML Products.
Nadia Nahar, Haoran Zhang, Grace A. Lewis, Shurui Zhou, Christian Kästner
2025The Same Only Different: On Information Modality for Configuration Performance Analysis.
Hongyuan Liang, Yue Huang, Tao Chen
2025The Seeds of the Future Sprout from History: Fuzzing for Unveiling Vulnerabilities in Prospective Deep-Learning Libraries.
Zhiyuan Li, Jingzheng Wu, Xiang Ling, Tianyue Luo, Zhiqing Rui, Yanjun Wu
2025Tiver: Identifying Adaptive Versions of C/C++ Third-Party Open-Source Components Using a Code Clustering Technique.
Youngjae Choi, Seunghoon Woo
2025Topseed: Learning Seed Selection Strategies for Symbolic Execution from Scratch.
Jaehyeok Lee, Sooyoung Cha
2025Toward a Better Understanding of Probabilistic Delta Debugging.
Mengxiao Zhang, Zhenyang Xu, Yongqiang Tian, Xinru Cheng, Chengnian Sun
2025Towards Better Answers: Automated Stack Overflow Post Updating.
Yubo Mai, Zhipeng Gao, Haoye Wang, Tingting Bi, Xing Hu, Xin Xia, Jianling Sun
2025Towards High-Strength Combinatorial Interaction Testing for Highly Configurable Software Systems.
Chuan Luo, Shuangyu Lyu, Wei Wu, Hongyu Zhang, Dianhui Chu, Chunming Hu
2025Towards More Trustworthy Deep Code Models by Enabling Out-of-Distribution Detection.
Yanfu Yan, Viet Duong, Huajie Shao, Denys Poshyvanyk
2025Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming.
Saikat Chakraborty, Gabriel Ebner, Siddharth Bhat, Sarah Fakhoury, Sakina Fatima, Shuvendu K. Lahiri, Nikhil Swamy
2025Towards Understanding the Characteristics of Code Generation Errors Made by Large Language Models.
Zhijie Wang, Zijie Zhou, Da Song, Yuheng Huang, Shengmai Chen, Lei Ma, Tianyi Zhang
2025TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron Provenance.
Waris Gill, Ali Anwar, Muhammad Ali Gulzar
2025TransferFuzz: Fuzzing with Historical Trace for Verifying Propagated Vulnerability Code.
Siyuan Li, Yuekang Li, Zuxin Chen, Chaopeng Dong, Yongpan Wang, Hong Li, Yongle Chen, Hongsong Zhu
2025Treefix: Enabling Execution with a Tree of Prefixes.
Beatriz Souza, Michael Pradel
2025Trust Dynamics in AI-Assisted Development: Definitions, Factors, and Implications.
Sadra Sabouri, Philipp Eibl, Xinyi Zhou, Morteza Ziyadi, Nenad Medvidovic, Lars Lindemann, Souti Chattopadhyay
2025Tumbling Down the Rabbit Hole: How do Assisting Exploration Strategies Facilitate Grey-Box Fuzzing?
Mingyuan Wu, Jiahong Xiang, Kunqiu Chen, Peng Di, Shin Hwei Tan, Heming Cui, Yuqun Zhang
2025UML is Back. Or is it? Investigating the Past, Present, and Future of UML in Open Source Software.
Joseph Romeo, Marco Raglianti, Csaba Nagy, Michele Lanza
2025Unavoidable Boundary Conditions: a Control Perspective on Goal Conflicts.
Francisco Cirelli, Dalal Alrajeh, Sebastián Uchitel
2025Understanding Architectural Complexity, Maintenance Burden, and Developer Sentiment -A Large-Scale Study.
Yuanfang Cai, Lanting He, Jun Qian, Yony Kochinski, Nan Zhang, Ciera Jaspan, Antonio Bianco
2025Understanding Compiler Bugs in Real Development.
Hao Zhong
2025Understanding and Detecting Peer Dependency Resolving Loop in npm Ecosystem.
Xingyu Wang, Mingsen Wang, Wenbo Shen, Rui Chang
2025Understanding the Effectiveness of Coverage Criteria for Large Language Models: A Special Angle from Jailbreak Attacks.
Shide Zhou, Tianlin Li, Kailong Wang, Yihao Huang, Ling Shi, Yang Liu, Haoyu Wang
2025Understanding the Response to Open-Source Dependency Abandonment in the npm Ecosystem.
Courtney Miller, Mahmoud Jahanshahi, Audris Mockus, Bogdan Vasilescu, Christian Kästner
2025Unleashing the True Potential of Semantic-Based Log Parsing with Pre-Trained Language Models.
Van-Hoang Le, Yi Xiao, Hongyu Zhang
2025Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar.
Yuanliang Zhang, Yifan Xie, Shanshan Li, Ke Liu, Chong Wang, Zhouyang Jia, Xiangbing Huang, Jie Song, Chaopeng Luo, Zhizheng Zheng, Rulin Xu, Yitong Liu, Si Zheng, Xiangke Liao
2025Unveiling the Energy Vampires: A Methodology for Debugging Software Energy Consumption.
Enrique Barba Roque, Luis Cruz, Thomas Durieux
2025User Personas Improve Social Sustainability by Encouraging Software Developers to Deprioritize Antisocial Features.
Bimpe Ayoola, Miikka Kuutila, Rina R. Wehbe, Paul Ralph
2025Vulnerability Detection with Code Language Models: How Far are We?
Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim, Chawin Sitawarin, Xinyun Chen, Basel Alomair, David A. Wagner, Baishakhi Ray, Yizheng Chen
2025WDD: Weighted Delta Debugging.
Xintong Zhou, Zhenyang Xu, Mengxiao Zhang, Yongqiang Tian, Chengnian Sun
2025Weakly-Supervised Log-Based Anomaly Detection with Inexact Labels via Multi-Instance Learning.
Minghua He, Tong Jia, Chiming Duan, Huaqian Cai, Ying Li, Gang Huang
2025What Guides Our Choices? Modeling Developers' Trust and Behavioral Intentions Towards Genai.
Rudrajit Choudhuri, Bianca Trinkenreich, Rahul Pandita, Eirini Kalliamvakou, Igor Steinmacher, Marco Aurélio Gerosa, Christopher Sanchez, Anita Sarma
2025What You See is What You Get: Attention-Based Self-Guided Automatic Unit Test Generation.
Xin Yin, Chao Ni, Xiaodan Xu, Xiaohu Yang
2025When Quantum Meets Classical: Characterizing Hybrid Quantum-Classical Issues Discussed in Developer Forums.
Jake Zappin, Trevor Stalnaker, Oscar Chaparro, Denys Poshyvanyk
2025Who's Pushing the Code? An Exploration of GitHub Impersonation.
Yueke Zhang, Anda Liang, Xiaohan Wang, Pamela J. Wisniewski, Fengwei Zhang, Kevin Leach, Yu Huang
2025Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models.
Kunpeng Zhang, Shuai Wang, Jitao Han, Xiaogang Zhu, Xian Li, Shaohua Wang, Sheng Wen
2025exLong: Generating Exceptional Behavior Tests with Large Language Models.
Jiyang Zhang, Yu Liu, Pengyu Nie, Junyi Jessy Li, Milos Gligoric