Fei-Ching Kuo

Fei-Ching co-developed Adaptive Random Testing with Tsong Yueh Chen, giving software testers a way to spread test inputs more evenly and seek faults with fewer cases. Research on metamorphic testing and web-application layout faults extends that contribution to difficult verification problems. These publications offer testing researchers and engineers methods for investigating software failures and improving test selection.

Fei-Ching Kuo is an Associate Professor of Software Engineering at Swinburne University of Technology in Melbourne, Australia, and a co-originator of Adaptive Random Testing alongside Tsong Yueh Chen. Holding a PhD focused on software testing and analysis, Fei-Ching developed the technique to spread test inputs across the range of possible inputs, seeking faults with fewer test cases to help teams choose tests that are more likely to uncover failures.

Fei-Ching also investigates metamorphic testing, which assesses relationships between the outputs of multiple executions when the correct result is difficult to establish directly. Other studies include co-authoring work on applying Adaptive Random Testing to detect layout faults in web applications, connecting foundational test-selection principles with visible problems in software interfaces. A sustained body of work spanning 86 publications and 3,216 citations continues to guide methods for improving software quality.