| 2021 | Fixing dependency errors for Python build reproducibility. | Suchita Mukherjee, Abigail Almanza, Cindy Rubio-Gonzlez |
| 2021 | The impact of tool configuration spaces on the evaluation of configurable taint analysis for Android. | Austin Mordahl, Shiyi Wei |
| 2021 | Log-based slicing for system-level test cases. | Salma Messaoudi, Donghwan Shin, Annibale Panichella, Domenico Bianculli, Lionel C. Briand |
| 2021 | RESTest: automated black-box testing of RESTful web APIs. | Alberto Martin-Lopez, Sergio Segura, Antonio Ruiz-Corts |
| 2021 | Semantic matching of GUI events for test reuse: are we there yet? | Leonardo Mariani, Ali Mohebbi, Mauro Pezz, Valerio Terragni |
| 2021 | Identifying privacy weaknesses from multi-party trigger-action integration platforms. | Kulani Mahadewa, Yanjun Zhang, Guangdong Bai, Lei Bu, Zhiqiang Zuo, Dileepa Fernando, Zhenkai Liang, Jin Song Dong |
| 2021 | SAND: a static analysis approach for detecting SQL antipatterns. | Yingjun Lyu, Sasha Volokh, William G. J. Halfond, Omer Tripp |
| 2021 | Boosting symbolic execution via constraint solving time prediction (experience paper). | Sicheng Luo, Hui Xu, Yanxiang Bi, Xin Wang, Yangfan Zhou |
| 2021 | ModelDiff: testing-based DNN similarity comparison for model reuse detection. | Yuanchun Li, Ziqi Zhang, Bingyan Liu, Ziyue Yang, Yunxin Liu |
| 2021 | DialTest: automated testing for recurrent-neural-network-driven dialogue systems. | Zixi Liu, Yang Feng, Zhenyu Chen |
| 2021 | Model-based testing of networked applications. | Yishuai Li, Benjamin C. Pierce, Steve Zdancewic |
| 2021 | Challenges and opportunities: an in-depth empirical study on configuration error injection testing. | Wang Li, Zhouyang Jia, Shanshan Li, Yuanliang Zhang, Teng Wang, Erci Xu, Ji Wang, Xiangke Liao |
| 2021 | Validating static warnings via testing code fragments. | Ashwin Kallingal Joshy, Xueyuan Chen, Benjamin Steenhoek, Wei Le |
| 2021 | Interval constraint-based mutation testing of numerical specifications. | Clothilde Jeangoudoux, Eva Darulova, Christoph Quirin Lauter |
| 2021 | NerdBug: automated bug detection in neural networks. | Foad Jafarinejad, Krishna Narasimhan, Mira Mezini |
| 2021 | DeepCrime: mutation testing of deep learning systems based on real faults. | Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella |
| 2021 | TauMed: test augmentation of deep learning in medical diagnosis. | Yunhan Hou, Jiawei Liu, Daiwei Wang, Jiawei He, Chunrong Fang, Zhenyu Chen |
| 2021 | Seed selection for successful fuzzing. | Adrian Herrera, Hendra Gunadi, Shane Magrath, Michael Norrish, Mathias Payer, Antony L. Hosking |
| 2021 | Automatic test suite generation for key-points detection DNNs using many-objective search (experience paper). | Fitash Ul Haq, Donghwan Shin, Lionel C. Briand, Thomas Stifter, Jun Wang |
| 2021 | Finding data compatibility bugs with JSON subschema checking. | Andrew Habib, Avraham Shinnar, Martin Hirzel, Michael Pradel |
| 2021 | UAFSan: an object-identifier-based dynamic approach for detecting use-after-free vulnerabilities. | Binfa Gui, Wei Song, Jeff Huang |
| 2021 | echidna-parade: a tool for diverse multicore smart contract fuzzing. | Alex Groce, Gustavo Grieco |
| 2021 | Toward optimal mc/dc test case generation. | Sangharatna Godboley, Joxan Jaffar, Rasool Maghareh, Arpita Dutta |
| 2021 | A lightweight framework for function name reassignment based on large-scale stripped binaries. | Han Gao, Shaoyin Cheng, Yinxing Xue, Weiming Zhang |
| 2021 | RVPLAN: a general purpose framework for replanning using runtime verification. | Angelo Ferrando, Rafael C. Cardoso |