| 2022 | CLEAR: Contrastive Learning for API Recommendation. | Moshi Wei, Nima Shiri Harzevili, Yuchao Huang, Junjie Wang, Song Wang |
| 2022 | Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source. | Anjiang Wei, Yinlin Deng, Chenyuan Yang, Lingming Zhang |
| 2022 | Decision Models for Selecting Patterns and Strategies in Microservices Systems and their Evaluation by Practitioners. | Muhammad Waseem, Peng Liang, Aakash Ahmad, Mojtaba Shahin, Arif Ali Khan, Gastn Mrquez |
| 2022 | DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs. | Mohammad Wardat, Breno Dantas Cruz, Wei Le, Hridesh Rajan |
| 2022 | What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code. | Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin |
| 2022 | Automated Testing of Software that Uses Machine Learning APIs. | Chengcheng Wan, Shicheng Liu, Sophie Xie, Yifan Liu, Henry Hoffmann, Michael Maire, Shan Lu |
| 2022 | NaturalCC: An Open-Source Toolkit for Code Intelligence. | Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Yulei Sui, Hongyu Zhang, Kazuma Hashimoto, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu |
| 2022 | JMocker: Refactoring Test-Production Inheritance by Mockito. | Xiao Wang, Lu Xiao, Tingting Yu, Anne Woepse, Sunny Wong |
| 2022 | Characterizing and Detecting Bugs in WeChat Mini-Programs. | Tao Wang, Qingxin Xu, Xiaoning Chang, Wensheng Dou, Jiaxin Zhu, Jinhui Xie, Yuetang Deng, Jianbo Yang, Jiaheng Yang, Jun Wei, Tao Huang |
| 2022 | APER: Evolution-Aware Runtime Permission Misuse Detection for Android Apps. | Sinan Wang, Yibo Wang, Xian Zhan, Ying Wang, Yepang Liu, Xiapu Luo, Shing-Chi Cheung |
| 2022 | Where is Your App Frustrating Users? | Yawen Wang, Junjie Wang, Hongyu Zhang, Xuran Ming, Lin Shi, Qing Wang |
| 2022 | Software Engineers' Response to Public Crisis: Lessons Learnt from Spontaneously Building an Informative COVID-19 Dashboard. | Han Wang, Chao Wu, Chunyang Chen, Burak Turhan, Shiping Chen, Jon Whittle |
| 2022 | EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries. | Jiannan Wang, Thibaud Lutellier, Shangshu Qian, Hung Viet Pham, Lin Tan |
| 2022 | Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding. | Deze Wang, Zhouyang Jia, Shanshan Li, Yue Yu, Yun Xiong, Wei Dong, Xiangke Liao |
| 2022 | iPFlakies: A Framework for Detecting and Fixing Python Order-Dependent Flaky Tests. | Ruixin Wang, Yang Chen, Wing Lam |
| 2022 | QuSBT: Search-Based Testing of Quantum Programs. | Xinyi Wang, Paolo Arcaini, Tao Yue, Shaukat Ali |
| 2022 | VRTest: An Extensible Framework for Automatic Testing of Virtual Reality Scenes. | Xiaoyin Wang |
| 2022 | CRS - A hybrid Course Recommendation System for Software Engineering Education. | Nhi N. Y. Vo, Nam H. Vu, Tu A. Vu, Quang T. Vu, Bang D. Mach |
| 2022 | Using a Semantic Knowledge Base to Improve the Management of Security Reports in Industrial DevOps Projects. | Markus Voggenreiter, Ulrich Schpp |
| 2022 | Using Natural Language Processing Techniques to Improve Manual Test Case Descriptions. | Markos Viggiato, Dale Paas, Chris Buzon, Cor-Paul Bezemer |
| 2022 | On Debugging the Performance of Configurable Software Systems: Developer Needs and Tailored Tool Support. | Miguel Velez, Pooyan Jamshidi, Norbert Siegmund, Sven Apel, Christian Kstner |
| 2022 | Verifying Dynamic Trait Objects in Rust. | Alexa VanHattum, Daniel Schwartz-Narbonne, Nathan Chong, Adrian Sampson |
| 2022 | Fast and Precise Application Code Analysis using a Partial Library. | Akshay Utture, Jens Palsberg |
| 2022 | Striking a Balance: Pruning False-Positives from Static Call Graphs. | Akshay Utture, Shuyang Liu, Christian Gram Kalhauge, Jens Palsberg |
| 2022 | Towards measuring the aggregated debt of trustworthiness level. | Imanol Urretavizcaya, Nuria Quintano, Jabier Martinez |