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Tue 11 Oct 2022 11:10 - 11:30 at Gold A - Technical Session 4 - Mobile Apps I Chair(s): Jacques Klein

In the industrial setting, mobile apps undergo frequent updates to catch up with the changing real-world requirements. It leads to the strong practical demands of continuous testing, i.e., obtaining quick feedback on app quality during development. However, existing automated GUI testing techniques fall short in this scenario as they simply run an app version from scratch and do not reuse the knowledge from previous testing runs to accelerate the testing cycle. To fill this important gap, we introduce a reusable automated model-based GUI testing technique. Our key insight is that the knowledge of event-activity transitions from the previous testing runs, i.e., executing which events can reach which activities, is valuable for guiding the follow-up testing runs to quickly cover major app functionalities. To this end, we propose (1) a probabilistic model to memorize and leverage this knowledge during testing, and (2) design a model-based guided testing strategy (enhanced by a reinforcement learning algorithm), to achieve faster-and-higher coverage testing. We implemented our technique as an automated testing tool named Fastbot2. Our evaluation on the two popular industrial apps (with billions of user installations) from ByteDance, Douyin and Toutiao, shows that Fastbot2 outperforms the state-of-the-art testing tools (Monkey, APE and Stoat) in both activity coverage and fault detection in the context of continuous testing. To date, Fastbot2 has been deployed in the CI pipeline at ByteDance for nearly two years, and 50.8% of the developer-fixed crash bugs were reported by Fastbot2, which significantly improves app quality. Fastbot2 has been made publicly available to benefit the community at: https://github.com/bytedance/Fastbot_Android. To date, it has received 500+ stars on GitHub and been used by many app vendors and individual developers to test their apps.

Tue 11 Oct

Displayed time zone: Eastern Time (US & Canada) change

10:30 - 12:30
Technical Session 4 - Mobile Apps IResearch Papers / NIER Track / Industry Showcase / Journal-first Papers / Tool Demonstrations at Gold A
Chair(s): Jacques Klein University of Luxembourg
Research paper
Mining Android API Usage to Generate Unit Test Cases for Pinpointing Compatibility Issues
Research Papers
Xiaoyu Sun Monash University, Xiao Chen Monash University, Yanjie Zhao Monash University, Pei Liu Monash University, John Grundy Monash University, Li Li Monash University
DOI Pre-print
Automated, Cost-effective, and Update-driven App TestingVirtual
Journal-first Papers
Chanh-Duc Ngo University of Luxembourg, Fabrizio Pastore University of Luxembourg, Lionel Briand University of Luxembourg; University of Ottawa
Link to publication
Industry talk
Fastbot2: Reusable Automated Model-based GUI Testing for Android Enhanced by Reinforcement LearningVirtual
Industry Showcase
Zhengwei Lv ByteDance, Chao Peng ByteDance, China, Zhao Zhang Bytedance Network Technology, Ting Su East China Normal University, Kai Liu Bytedance, Ping Yang Bytedance Network Technology
Vision and Emerging Results
Right to Know, Right to Refuse: Towards UI Perception-Based Automated Fine-Grained Permission Controls for Android AppsVirtual
NIER Track
Vikas K. Malviya Singapore Management University, Chee Wei Leow Singapore Management University, Ashok Kasthuri Singapore Management University, Yan Naing Tun Singapore Management University, Lwin Khin Shar Singapore Management University, Lingxiao Jiang Singapore Management University
Pre-print Media Attached
Research paper
MalWhiteout: Reducing Label Errors in Android Malware DetectionVirtual
Research Papers
Liu Wang Beijing University of Posts and Telecommunications, Haoyu Wang Huazhong University of Science and Technology, China, Xiapu Luo Hong Kong Polytechnic University, Yulei Sui University of Technology Sydney
AUSERA: Automated Security Vulnerability Detection for Android AppsVirtual
Tool Demonstrations
Sen Chen Tianjin University, Yuxin Zhang Tianjin University, Lingling Fan Nankai University, Jiaming Li Tianjin University, Yang Liu Nanyang Technological University
Research paper
A Comprehensive Evaluation of Android ICC Resolution TechniquesVirtual
Research Papers
Jiwei Yan Institute of Software at Chinese Academy of Sciences, China, Shixin Zhang Beijing Jiaotong University, China, Yepang Liu Southern University of Science and Technology, Xi Deng Institute of Software, Chinese Academy of Sciences, Jun Yan Institute of Software at Chinese Academy of Sciences, China, Jian Zhang Institute of Software at Chinese Academy of Sciences, China
DOI Pre-print