| 2020 | Program-aware fuzzing for MQTT applications. | Luis Gustavo Araujo Rodriguez, Daniel Macdo Batista |
| 2020 | Data loss detector: automatically revealing data loss bugs in Android apps. | Oliviero Riganelli, Simone Paolo Mottadelli, Claudio Rota, Daniela Micucci, Leonardo Mariani |
| 2020 | Test recommendation system based on slicing coverage filtering. | Ruixiang Qian, Yuan Zhao, Duo Men, Yang Feng, Qingkai Shi, Yong Huang, Zhenyu Chen |
| 2020 | Scaffle: bug localization on millions of files. | Michael Pradel, Vijayaraghavan Murali, Rebecca Qian, Mateusz Machalica, Erik Meijer, Satish Chandra |
| 2020 | Empirically revisiting and enhancing IR-based test-case prioritization. | Qianyang Peng, August Shi, Lingming Zhang |
| 2020 | Reinforcement learning based curiosity-driven testing of Android applications. | Minxue Pan, An Huang, Guoxin Wang, Tian Zhang, Xuandong Li |
| 2020 | Debugging the performance of Maven's test isolation: experience report. | Pengyu Nie, Ahmet elik, Matthew Coley, Aleksandar Milicevic, Jonathan Bell, Milos Gligoric |
| 2020 | Automatic support for the identification of infeasible testing requirements. | Joo Choma Neto |
| 2020 | Learning input tokens for effective fuzzing. | Bjrn Mathis, Rahul Gopinath, Andreas Zeller |
| 2020 | Formal verification of discrete event model. | Zhihao Lu, Rui Wang, Yong Guan |
| 2020 | CoCoNuT: combining context-aware neural translation models using ensemble for program repair. | Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei, Lin Tan |
| 2020 | Can automated program repair refine fault localization? a unified debugging approach. | Yiling Lou, Ali Ghanbari, Xia Li, Lingming Zhang, Haotian Zhang, Dan Hao, Lu Zhang |
| 2020 | Detecting cache-related bugs in Spark applications. | Hui Li, Dong Wang, Tianze Huang, Yu Gao, Wensheng Dou, Lijie Xu, Wei Wang, Jun Wei, Hua Zhong |
| 2020 | How far we have come: testing decompilation correctness of C decompilers. | Zhibo Liu, Shuai Wang |
| 2020 | Automated classification of actions in bug reports of mobile apps. | Hui Liu, Mingzhu Shen, Jiahao Jin, Yanjie Jiang |
| 2020 | DeepSQLi: deep semantic learning for testing SQL injection. | Muyang Liu, Ke Li, Tao Chen |
| 2020 | Effective white-box testing of deep neural networks with adaptive neuron-selection strategy. | Seokhyun Lee, Sooyoung Cha, Dain Lee, Hakjoo Oh |
| 2020 | Dependent-test-aware regression testing techniques. | Wing Lam, August Shi, Reed Oei, Sai Zhang, Michael D. Ernst, Tao Xie |
| 2020 | Feedback-driven side-channel analysis for networked applications. | Ismet Burak Kadron, Nicols Rosner, Tevfik Bultan |
| 2020 | An empirical study on ARM disassembly tools. | Muhui Jiang, Yajin Zhou, Xiapu Luo, Ruoyu Wang, Yang Liu, Kui Ren |
| 2020 | Feasible and stressful trajectory generation for mobile robots. | Carl Hildebrandt, Sebastian G. Elbaum, Nicola Bezzo, Matthew B. Dwyer |
| 2020 | Testing high performance numerical simulation programs: experience, lessons learned, and open issues. | Xiao He, Xingwei Wang, Jia Shi, Yi Liu |
| 2020 | A programming model for semi-implicit parallelization of static analyses. | Dominik Helm, Florian Kbler, Jan Thomas Klzer, Philipp Haller, Michael Eichberg, Guido Salvaneschi, Mira Mezini |
| 2020 | TauJud: test augmentation of machine learning in judicial documents. | Zichen Guo, Jiawei Liu, Tieke He, Zhuoyang Li, Peitian Zhangzhu |
| 2020 | Crowdsourced requirements generation for automatic testing via knowledge graph. | Chao Guo, Tieke He, Wei Yuan, Yue Guo, Rui Hao |