Browsing Department of Computer Science and Engineering by Author "Lei, Yu"
Now showing items 1-5 of 5
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A COMBINATORIAL APPROACH TO FAIRNESS TESTING OF MACHINE LEARNING MODELS
Patel, Ankita Ramjibhai (2022-05-16)Machine Learning (ML) models could exhibit biased behavior, or algorithmic discrimination, resulting in unfair or discriminatory outcomes. The bias in the ML model could emanate from various factors such as the training ... -
ADVANCED ALGORITHMS FOR COMBINATORIAL AND SEQUENTIAL TEST GENERATION WITH CONSTRAINTS
Duan, Feng (2021-05-05)Combinatorial and sequential testing are software testing strategies that have attracted significant interests from both academic and industrial communities. This dissertation addresses the problem of how to efficiently ... -
Fuzz Testing of Zigbee Protocol Implementations
Ren, Mengfei; 0000-0001-8548-3299 (2023-07-12)In recent years, we have witnessed the increasing of the Internet of Things (IoT) devices deployed by many areas, such as home automation, healthcare, manufacture, and smart vehicle. Among the numerous IoT wireless standards ... -
INVESTIGATING THE EFFECT OF PEEPHOLE OPTIMIZATIONS ON BINARY CODE DIFFERENCES
Ren, Xiaolei (2023-09-01)**Please note that the full text is embargoed until 8/1/2025** ABSTRACT: Binary diffing is a technique used to compare and identify differences or similarities in executable files without access to source code. The potential ... -
TOWARDS EFFICIENT TESTING AND DEBUGGING OF EMERGING SOFTWARE APPLICATIONS
Feng, Huadong; 0000-0002-3613-1577 (2021-04-29)Big Data and Smart Contract are among the top emerging technologies tipped to revolutionize the way businesses and organizations are run. Testing and debugging are the most important tasks during the development of any ...