| 2024 | Unimocg: Modular Call-Graph Algorithms for Consistent Handling of Language Features. | Dominik Helm, Tobias Roth, Sven Keidel, Michael Reif, Mira Mezini |
| 2024 | Total Recall? How Good Are Static Call Graphs Really? | Dominik Helm, Sven Keidel, Anemone Kampktter, Johannes Dsing, Tobias Roth, Ben Hermann, Mira Mezini |
| 2024 | UniTSyn: A Large-Scale Dataset Capable of Enhancing the Prowess of Large Language Models for Program Testing. | Yifeng He, Jiabo Huang, Yuyang Rong, Yiwen Guo, Ethan Wang, Hao Chen |
| 2024 | Feedback-Directed Partial Execution. | Ishrak Hayet, Adam Scott, Marcelo d'Amorim |
| 2024 | Precise Compositional Buffer Overflow Detection via Heap Disjointness. | Yiyuan Guo, Peisen Yao, Charles Zhang |
| 2024 | When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention. | Lianghong Guo, Yanlin Wang, Ensheng Shi, Wanjun Zhong, Hongyu Zhang, Jiachi Chen, Ruikai Zhang, Yuchi Ma, Zibin Zheng |
| 2024 | CooTest: An Automated Testing Approach for V2X Communication Systems. | An Guo, Xinyu Gao, Zhenyu Chen, Yuan Xiao, Jiakai Liu, Xiuting Ge, Weisong Sun, Chunrong Fang |
| 2024 | Enhancing Robustness of Code Authorship Attribution through Expert Feature Knowledge. | Xiaowei Guo, Cai Fu, Juan Chen, Hongle Liu, Lansheng Han, Wenjin Li |
| 2024 | FT2Ra: A Fine-Tuning-Inspired Approach to Retrieval-Augmented Code Completion. | Qi Guo, Xiaohong Li, Xiaofei Xie, Shangqing Liu, Ze Tang, Ruitao Feng, Junjie Wang, Jidong Ge, Lei Bu |
| 2024 | Generalized Concurrency Testing Tool for Distributed Systems. | Ege Berkay Gulcan, Joo Neto, Burcu Kulahcioglu Ozkan |
| 2024 | An In-Depth Study of Runtime Verification Overheads during Software Testing. | Kevin Guan, Owolabi Legunsen |
| 2024 | Large Language Models Can Connect the Dots: Exploring Model Optimization Bugs with Domain Knowledge-Aware Prompts. | Hao Guan, Guangdong Bai, Yepang Liu |
| 2024 | Towards More Complete Constraints for Deep Learning Library Testing via Complementary Set Guided Refinement. | Gwihwan Go, Chijin Zhou, Quan Zhang, Xiazijian Zou, Heyuan Shi, Yu Jiang |
| 2024 | Traceback: A Fault Localization Technique for Molecular Programs. | Michael C. Gerten, James I. Lathrop, Myra B. Cohen |
| 2024 | Uncovering and Mitigating the Impact of Code Obfuscation on Dataset Annotation with Antivirus Engines. | Cuiying Gao, Yueming Wu, Heng Li, Wei Yuan, Haoyu Jiang, Qidan He, Yang Liu |
| 2024 | Efficient DNN-Powered Software with Fair Sparse Models. | Xuanqi Gao, Weipeng Jiang, Juan Zhai, Shiqing Ma, Xiaoyu Zhang, Chao Shen |
| 2024 | TeDA: A Testing Framework for Data Usage Auditing in Deep Learning Model Development. | Xiangshan Gao, Jialuo Chen, Jingyi Wang, Jie Shi, Peng Cheng, Jiming Chen |
| 2024 | The Flexcrash Platform for Testing Autonomous Vehicles in Mixed-Traffic Scenarios. | Alessio Gambi, Shreya Mathews, Benedikt Steininger, Mykhailo Poienko, David Bobek |
| 2024 | Decentralized Near-Synchronous Local-First Programming Collaboration. | Leon Freudenthaler |
| 2024 | SMBugFinder: An Automated Framework for Testing Protocol Implementations for State Machine Bugs. | Paul Fiterau-Brostean, Bengt Jonsson, Konstantinos Sagonas, Fredrik Tquist |
| 2024 | Oracle-Guided Program Selection from Large Language Models. | Zhiyu Fan, Haifeng Ruan, Sergey Mechtaev, Abhik Roychoudhury |
| 2024 | DDGF: Dynamic Directed Greybox Fuzzing with Path Profiling. | Haoran Fang, Kaikai Zhang, Donghui Yu, Yuanyuan Zhang |
| 2024 | Fuzzing JavaScript Interpreters with Coverage-Guided Reinforcement Learning for LLM-Based Mutation. | Jueon Eom, Seyeon Jeong, Taekyoung Kwon |
| 2024 | Test Selection for Deep Neural Networks using Meta-Models with Uncertainty Metrics. | Demet Demir, Aysu Betin Can, Elif Srer |
| 2024 | Leveraging Natural Language Processing and Data Mining to Augment and Validate APIs. | Alix Decrop |