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Activities are the fundamental components of Android applications (apps). However, existing approaches to automated testing for Android apps cannot effectively manage the transitions between activities, e.g., too rarely or too often. Besides, some techniques need to repeatedly restart from scratch and revisit every intermediate activity to reach a specific one, which leads to unnecessarily long transitions...
Smartphones are indispensable in people's daily lives. As smartphone apps are being increasingly concurrent, developers are increasingly unable to tackle the complexity and to avoid subtle concurrency bugs. To better address this issue, we propose a novel approach to manifesting concurrency bugs in Android apps based on the fact that one can simultaneously generate input events and their schedules...
Mobile applications (apps) are mostly driven by touch gestures whose interactions are natural to human beings. However, generating gesture events for effective and efficient testing of such apps remains to be a challenge. Existing event generation techniques either feed the apps under test with random gestures or exhaustively enumerate all possible gestures. While the former strategy leads to incomplete...
Smartphone applications are becoming increasingly popular. However, these applications can suffer limited power budgets or malfunctioned sensing issues from their host devices. Computation offloading addresses this issue by delegating local computation workloads to remote servers. In this paper, we present Cose Droid, a framework that supports dynamic computation- and sensing-offloading across different...
Mobile devices are gradually taking over traditional computers' dominance in human lives. With the ever-increasing shipment of mobile apps running on these devices, their quality issues become a severe challenge. Although automated testing techniques are being widely studied, they mostly fall short of handling mobile apps' complex interactions, e.g., A finger swipe or device shaking gesture, leading...
Smartphone applications’ energy efficiency is vital, but many Android applications suffer from serious energy inefficiency problems. Locating these problems is labor-intensive and automated diagnosis is highly desirable. However, a key challenge is the lack of a decidable criterion that facilitates automated judgment of such energy problems. Our work aims to address this challenge. We conducted an...
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