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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
61
Citations
15254
World Ranking
3065
National Ranking
85

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Tsong Yueh Chen is affiliated with Swinburne University of Technology in Australia and has contributed extensively to the field of computer science, focusing primarily on software testing and related areas. Their research encompasses a variety of subfields including software, artificial intelligence, information systems, computer networks and communications, as well as hardware and architecture.

The main topics addressed in their work include software testing and debugging techniques, software reliability and analysis research, and software engineering research. Additional topics of interest include software system performance and reliability, adversarial robustness in machine learning, VLSI and analog circuit testing, and advanced malware detection techniques.

Chen has published numerous papers across frequent venues such as Swinburne Research Bank (Swinburne University of Technology), arXiv (Cornell University), Information and Software Technology, ACM Transactions on Software Engineering and Methodology, and IEEE Transactions on Reliability.

Recent papers include:

  • Metamorphic Testing: A New Approach for Generating Next Test Cases, 2020, arXiv (Cornell University)
  • Metamorphic testing and testing with special values, 2024, Swinburne Research Bank (Swinburne University of Technology)
  • A Declarative Metamorphic Testing Framework for Autonomous Driving, 2022, IEEE Transactions on Software Engineering
  • Theoretical and Empirical Analyses of the Effectiveness of Metamorphic Relation Composition, 2020, IEEE Transactions on Software Engineering
  • On test case distributions of adaptive random testing, 2024, Swinburne Research Bank (Swinburne University of Technology)

Frequent coauthors collaborating with Chen include Huai Liu, Zhi Quan Zhou, Dave Towey, Zheng Zheng, and Pak-Lok Poon.

Best Publications

  • An orchestrated survey of methodologies for automated software test case generation

    Saswat Anand;Edmund K. Burke;Tsong Yueh Chen;John Clark

  • Adaptive random testing

    T. Y. Chen;H. Leung;I. K. Mak

  • Metamorphic Testing: A Review of Challenges and Opportunities

    Tsong Yueh Chen;Fei-Ching Kuo;Huai Liu;Pak-Lok Poon

  • Adaptive Random Testing: The ART of test case diversity

    Tsong Yueh Chen;Fei-Ching Kuo;Robert G. Merkel;T. H. Tse

  • A theoretical analysis of the risk evaluation formulas for spectrum-based fault localization

    Xiaoyuan Xie;Tsong Yueh Chen;Fei-Ching Kuo;Baowen Xu

  • Testing and validating machine learning classifiers by metamorphic testing

    Xiaoyuan Xie;Joshua W. K. Ho;Christian Murphy;Gail Kaiser

  • Metamorphic Testing: A New Approach for Generating Next Test Cases.

    Tsong Yueh Chen;S. C. Cheung;Siu-Ming Yiu

  • A new heuristic for test suite reduction

    Tsong Yueh Chen;Man Fai Lau

  • How Effectively Does Metamorphic Testing Alleviate the Oracle Problem

    Huai Liu;Fei-Ching Kuo;Dave Towey;Tsong Yueh Chen

  • Fault-based testing without the need of oracles

    Tsong Y. Chen;Tsun H. Tse;Zhiquan Zhou

  • In black and white: an integrated approach to class-level testing of object-oriented programs

    Huo Yan Chen;T. H. Tse;F. T. Chan;T. Y. Chen

  • TACCLE: a methodology for object-oriented software testing at the class and cluster levels

    Huo Yan Chen;T. H. Tse;T. Y. Chen

  • Dividing strategies for the optimization of a test suite

    Tsong Yueh Chen;Man Fai Lau

  • Proportional sampling strategy: guidelines for software testing practitioners☆

    F. T. Chan;Tsong Yueh Chen;I. K. Mak;Yuen-Tak Yu

  • Proportional sampling strategy: a compendium and some insights

    T. Y. Chen;T. H. Tse;Y. T. Yu

  • A preliminary survey on software testing practices in Australia

    S.P. Ng;T. Murnane;K. Reed;D. Grant

  • An innovative approach for testing bioinformatics programs using metamorphic testing

    Tsong Yueh Chen;Joshua Wing Kei Ho;Joshua Wing Kei Ho;Huai Liu;Xiaoyuan Xie

  • On the expected number of failures detected by subdomain testing and random testing

    T.Y. Chen;Y.T. Yu

  • On the relationship between partition and random testing

    T.Y. Chen;Y.T. Yu

  • Metamorphic Testing for Software Quality Assessment: A Study of Search Engines

    Zhi Quan Zhou;Shaowen Xiang;Tsong Yueh Chen

  • Metamorphic testing of programs on partial differential equations: a case study

    T.Y. Chen;Jianqiang Feng;T.H. Tse

Frequent Co-Authors

T. H. Tse
T. H. Tse University of Hong Kong
Baowen Xu
Baowen Xu Nanjing University
Felix T.S. Chan
Felix T.S. Chan Macau University of Science and Technology
W. Eric Wong
W. Eric Wong The University of Texas at Dallas
W. K. Chan
W. K. Chan City University of Hong Kong
Mark Harman
Mark Harman University College London
Shin Yoo
Shin Yoo Korea Advanced Institute of Science and Technology
Gail E. Kaiser
Gail E. Kaiser Columbia University
Victor R. Basili
Victor R. Basili University of Maryland, College Park
Shing-Chi Cheung
Shing-Chi Cheung Hong Kong University of Science and Technology

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