Mining Android API Usage to Generate Unit Test Cases for Pinpointing Compatibility Issues
Despite being one of the largest and most popular projects, the official Android framework has only provided test cases for less than 30% of its APIs. Such a poor test case coverage rate has led to many compatibility issues that can cause apps to crash at runtime on specific Android devices, resulting in poor user experiences of both apps and the Android ecosystem. To mitigate this impact, various approaches have been proposed to automatically detect such compatibility issues. Unfortunately, these approaches have only focused on detecting signature-induced compatibility issues (i.e., a certain API does not exist in certain Android versions), leaving other equally important types of compatibility issues unresolved. In this work, we propose a novel prototype tool, JUnitTestGen, to fill this gap by mining existing Android API usage to generate unit test cases. After locating Android API usage in given real-world Android apps, JUnitTestGen performs inter-procedural backward data-flow analysis to generate a minimal executable code snippet (i.e., test case). Experimental results on thousands of real-world Android apps show that JUnitTestGen is effective in generating valid unit test cases for Android APIs. We show that these generated test cases are indeed helpful for pinpointing compatibility issues, including ones involving semantic code changes.
Tue 11 OctDisplayed 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 | ||
10:30 20mResearch 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 | ||
10:50 20mPaper | 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 | ||
11:10 20mIndustry 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 | ||
11:30 10mVision 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 | ||
11:40 20mResearch 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 | ||
12:00 10mDemonstration | 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 | ||
12:10 20mResearch 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 | ||