| 2022 | Towards Automatically Repairing Compatibility Issues in Published Android Apps. | Yanjie Zhao, Li Li, Kui Liu, John C. Grundy |
| 2022 | Path Transitions Tell More: Optimizing Fuzzing Schedules via Runtime Program States. | Kunpeng Zhang, Xi Xiao, Xiaogang Zhu, Ruoxi Sun, Minhui Xue, Sheng Wen |
| 2022 | ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing. | Ziqi Zhang, Yuanchun Li, Jindong Wang, Bingyan Liu, Ding Li, Yao Guo, Xiangqun Chen, Yunxin Liu |
| 2022 | ShellFusion: Answer Generation for Shell Programming Tasks via Knowledge Fusion. | Neng Zhang, Chao Liu, Xin Xia, Christoph Treude, Ying Zou, David Lo, Zibin Zheng |
| 2022 | Towards Bidirectional Live Programming for Incomplete Programs. | Xing Zhang, Zhenjiang Hu |
| 2022 | Default: Mutual Information-based Crash Triage for Massive Crashes. | Xing Zhang, Jiongyi Chen, Chao Feng, Ruilin Li, Wenrui Diao, Kehuan Zhang, Jing Lei, Chaojing Tang |
| 2022 | DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning. | Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin, Dongmei Zhang |
| 2022 | Buildsheriff: Change-Aware Test Failure Triage for Continuous Integration Builds. | Chen Zhang, Bihuan Chen, Xin Peng, Wenyun Zhao |
| 2022 | Fault Localization via Efficient Probabilistic Modeling of Program Semantics. | Muhan Zeng, Yiqian Wu, Zhentao Ye, Yingfei Xiong, Xin Zhang, Lu Zhang |
| 2022 | What are Weak Links in the npm Supply Chain? | Nusrat Zahan, Thomas Zimmermann, Patrice Godefroid, Brendan Murphy, Chandra Shekhar Maddila, Laurie A. Williams |
| 2022 | Automated Assertion Generation via Information Retrieval and Its Integration with Deep learning. | Hao Yu, Yiling Lou, Ke Sun, Dezhi Ran, Tao Xie, Dan Hao, Ying Li, Ge Li, Qianxiang Wang |
| 2022 | IDE Augmented with Human-Learning Inspired Natural Language Programming. | Mitchell Young, Zifan Nan, Xipeng Shen |
| 2022 | An Empirical Study on Implicit Constraints in Smart Contract Static Analysis. | Tingting Yin, Chao Zhang, Yuandong Ni, Yixiong Wu, Taiyu Wong, Xiapu Luo, Zheming Li, Yu Guo |
| 2022 | Neural Program Repair with Execution-based Backpropagation. | He Ye, Matias Martinez, Martin Monperrus |
| 2022 | Knowledge-Based Environment Dependency Inference for Python Programs. | Hongjie Ye, Wei Chen, Wensheng Dou, Guoquan Wu, Jun Wei |
| 2022 | The Symptoms, Causes, and Repairs of Workarounds in Apache Issue Trackers. | Aoyang Yan, Hao Zhong, Daohan Song, Li Jia |
| 2022 | ICCBot: Fragment-Aware and Context-Sensitive ICC Resolution for Android Applications. | Jiwei Yan, Shixin Zhang, Yepang Liu, Jun Yan, Jian Zhang |
| 2022 | WhyGen: Explaining ML-powered Code Generation by Referring to Training Examples. | Weixiang Yan, Yuanchun Li |
| 2022 | An Industrial Experience Report on Retro-Inspection. | Lanxin Yang, He Zhang, Fuli Zhang, Xiaodong Zhang, Guoping Rong |
| 2022 | ModX: Binary Level Partially Imported Third-Party Library Detection via Program Modularization and Semantic Matching. | Can Yang, Zhengzi Xu, Hongxu Chen, Yang Liu, Xiaorui Gong, Baoxu Liu |
| 2022 | DescribeCtx: Context-Aware Description Synthesis for Sensitive Behaviors in Mobile Apps. | Shao Yang, Yuehan Wang, Yuan Yao, Haoyu Wang, Yanfang (Fanny) Ye, Xusheng Xiao |
| 2022 | Natural Attack for Pre-trained Models of Code. | Zhou Yang, Jieke Shi, Junda He, David Lo |
| 2022 | Demystifying Android Non-SDK APls: Measurement and Understanding. | Shishuai Yang, Rui Li, Jiongyi Chen, Wenrui Diao, Shanqing Guo |
| 2022 | Why do projects join the Apache Software Foundation? | Nan Yang, Isabella Ferreira, Alexander Serebrenik, Bram Adams |
| 2022 | Dependency Tracking for Risk Mitigation in Machine Learning (ML) Systems. | Xiwei Xu, Chen Wang, Zhen Wang, Qinghua Lu, Liming Zhu |