The use of mobile apps is increasingly widespread, and much effort is put into testing these apps to make sure they behave as intended. To reduce this effort, and thus the overall cost of mobile app testing, we propose AppTestMigrator, a technique for migrating test cases between apps in the same category (e.g., banking apps). The intuition behind AppTestMigrator is that many apps share similarities in their functionality, and these similarities often result in conceptually similar user interfaces (through which that functionality is accessed). AppTestMigrator leverages these commonalities between user interfaces to migrate existing tests written for an app to another similar app. Specifically, given (1) a test case for an app (source app) and (2) a second app (target app), AppTestMigrator attempts to automatically transform the sequence of events and oracles in the test for the source app to events and oracles for the target app. We implemented AppTestMigrator for Android mobile apps and evaluated it on a set of randomly selected apps from the Google Play Store in four different categories. Our initial results are promising, support our intuition that test migration is possible, and motivate further research in this direction.
Tue 12 NovDisplayed time zone: Tijuana, Baja California change
10:40 - 12:20 | Mobile 1Demonstrations / Research Papers / Journal First Presentations at Hillcrest Chair(s): Marouane Kessentini University of Michigan | ||
10:40 20mTalk | Test Transfer Across Mobile Apps Through Semantic Mapping Research Papers Jun-Wei Lin University of California, Irvine, Reyhaneh Jabbarvand University of California, Irvine, Sam Malek University of California, Irvine | ||
11:00 20mTalk | Test Migration Between Mobile Apps with Similar Functionality Research Papers | ||
11:20 20mTalk | DaPanda: Detecting Aggressive Push Notification in Android Apps Research Papers Tianming Liu Beijing University of Posts and Telecommunications, China, Haoyu Wang Beijing University of Posts and Telecommunications, China, Li Li Monash University, Australia, Guangdong Bai Griffith University, Yao Guo Peking University, Guoai Xu Beijing University of Posts and Telecommunications | ||
11:40 20mTalk | Automatic, highly accurate app permission recommendation Journal First Presentations Zhongxin Liu Zhejiang University, Xin Xia Monash University, David Lo Singapore Management University, John Grundy Monash University Link to publication | ||
12:00 10mDemonstration | LIRAT: Layout and Image Recognition Driving Automated Mobile Testing of Cross-Platform Demonstrations Shengcheng Yu Nanjing University, China, Chunrong Fang Nanjing University, Yang Feng University of California, Irvine, Wenyuan Zhao Nanjing University, Zhenyu Chen Nanjing University File Attached | ||
12:10 10mDemonstration | Humanoid: A Deep Learning-based Approach to Automated Black-box Android App Testing Demonstrations Yuanchun Li Peking University, Ziyue Yang Peking University, Yao Guo Peking University, Xiangqun Chen Peking University | ||