GUI-based testing has been primarily used to examine the functionality and usability of mobile apps. Despite the numerous GUI-based test input generation techniques proposed in the literature, these techniques are still limited by (1) lack of context-aware text inputs; (2) failing to generate expressive tests; and (3) absence of test oracles. To address these limitations, we propose CraftDroid, a framework that leverages information retrieval, along with static and dynamic analysis techniques, to extract the human knowledge from an existing test suite for one app and transfer the test cases and oracles to be used for testing other apps with the similar functionalities. Evaluation of CraftDroid on real-world commercial Android apps corroborates its effectiveness by achieving 73% precision and 90% recall on average for transferring both the GUI events and oracles. In addition, 75% of the attempted transfers successfully generated valid and feature-based tests for popular features among apps in the same category.
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 | ||