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 Nov Times are displayed in time zone: Tijuana, Baja California change
10:40 - 12:20 | Mobile 1Demonstrations / Research Papers / Journal First Presentations at Hillcrest Chair(s): Marouane KessentiniUniversity of Michigan | ||
10:40 20mTalk | Test Transfer Across Mobile Apps Through Semantic Mapping Research Papers Jun-Wei LinUniversity of California, Irvine, Reyhaneh JabbarvandUniversity of California, Irvine, Sam MalekUniversity 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 LiuBeijing University of Posts and Telecommunications, China, Haoyu WangBeijing University of Posts and Telecommunications, China, Li LiMonash University, Australia, Guangdong BaiGriffith University, Yao GuoPeking University, Guoai Xu Beijing University of Posts and Telecommunications | ||
11:40 20mTalk | Automatic, highly accurate app permission recommendation Journal First Presentations Zhongxin LiuZhejiang University, Xin XiaMonash University, David LoSingapore Management University, John GrundyMonash University Link to publication | ||
12:00 10mDemonstration | LIRAT: Layout and Image Recognition Driving Automated Mobile Testing of Cross-Platform Demonstrations Shengcheng YuNanjing University, China, Chunrong FangNanjing University, Yang FengUniversity of California, Irvine, Wenyuan ZhaoNanjing University, Zhenyu ChenNanjing University File Attached | ||
12:10 10mDemonstration | Humanoid: A Deep Learning-based Approach to Automated Black-box Android App Testing Demonstrations Yuanchun LiPeking University, Ziyue YangPeking University, Yao GuoPeking University, Xiangqun ChenPeking University | ||