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Detecting Non-crashing Functional Bugs in Android Apps via Deep-State Differential Analysis

Non-crashing functional bugs of Android apps can seriously affect user experience. Often buried in rare program paths, such bugs are …

Jue Wang, Yanyan Jiang, Ting Su, Shaohua Li, Chang Xu, Jian Lu, Zhendong Su

Fully Automated Functional Fuzzing of Android Apps for Detecting Non-Crashing Logic Bugs

Android apps are GUI-based event-driven software and have become ubiquitous in recent years. Obviously, functional correctness is …

Ting Su, Yichen Yan, Jue Wang, Jingling Sun, Yiheng Xiong, Geguang Pu, Ke Wang, Zhendong Su

Benchmarking automated GUI testing for Android against real-world bugs

For ensuring the reliability of Android apps, there has been tremendous, continuous progress on improving automated GUI testing in the …

Ting Su, Jue Wang, Zhendong Su

ComboDroid: generating high-quality test inputs for Android apps via use case combinations

Android apps demand high-quality test inputs, whose generation remains an open challenge. Existing techniques fall short on exploring …

Jue Wang, Yanyan Jiang, Chang Xu, Chun Cao, Xiaoxing Ma, Jian Lu

ELEGANT: Towards Effective Location of Fragmentation-Induced Compatibility Issues for Android Apps

Android fragmentation is a double-edged sword of the Android ecosystem. On the one hand, it promotes Android’s prevalence. On the …

Cong Li, Chang Xu, Lili Wei, Jue Wang, Jun Ma, Jian Lu

NavyDroid: Detecting Energy Inefficiency Problems for Smartphone Applications

Many smartphone applications suffer from energy inefficiency problems, but locating these problems is quite difficult and …

Yi Liu, Jue Wang, Chang Xu, Xiaoxing Ma

E-greenDroid: effective energy inefficiency analysis for android applications

Energy inefficiency of smartphone apps is one of the important non-functional issues. It is common, but difficult to diagnose, and …

Jue Wang, Yepang Liu, Chang Xu, Xiaoxing Ma, Jian Lu