Yue Jia

Centre for Research in Engineering Surface Technology

Papers

Total Citations

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About

Yue Jia is a leading researcher in software engineering, with a primary focus on automated software testing, particularly for mobile applications. Her most influential contribution is the development of Axiz, a pioneering robotic-test generator for mobile devices, introduced in her highly cited 2017 paper "Robotic Testing of Mobile Apps for Truly Black-Box Automation" (65 citations). This work fundamentally reimagines software testing by leveraging physical robots to perform truly black-box testing—a paradigm shift from traditional software-based approaches. By treating the mobile device as an opaque physical object, Axiz enables testers to interact with apps exactly as a human user would, uncovering bugs that purely digital testing methods miss. Jia's research bridges the gap between robotics and software engineering, demonstrating that repetitive manual testing tasks can be automated with physical precision. Her work has significant implications for quality assurance in app development, offering a novel, more authentic testing methodology. With her innovative integration of robotics into software testing, Jia continues to shape how developers ensure mobile app reliability in an increasingly device-dependent world.