World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
10080
World Ranking
7115
National Ranking
3122

Overview

W. Eric Wong is affiliated with The University of Texas at Dallas in the United States and specializes in computer science with an emphasis on software engineering and related subfields.

Their research has contributed to multiple areas including software reliability and analysis, software engineering, software testing and debugging techniques, and software system performance and reliability. Other topics of their work include wireless signal modulation classification and speech and audio processing.

Frequent co-authors of W. Eric Wong include Dongcheng Li, Bechir Hamdaoui, Matthew Chau, Abdurrahman Elmaghbub, and Yihao Li.

The scholar has published extensively in notable venues such as arXiv (Cornell University), IEEE Access, Computer, Journal of Systems and Software, and Empirical Software Engineering.

Representative recent papers authored by W. Eric Wong include:

  • A bibliometric assessment of software engineering themes, scholars and institutions (2013-2020), 2021, Journal of Systems and Software
  • Detection and Mitigation of Label-Flipping Attacks in Federated Learning Systems with KPCA and K-Means, 2021, 2021 8th International Conference on Dependable Systems and Their Applications (DSA)

Their work spans several subfields within computer science, including software, information systems, artificial intelligence, computer networks and communications, and safety, risk, reliability, and quality.

Best Publications

  • A Survey on Software Fault Localization

    W. Eric Wong;Ruizhi Gao;Yihao Li;Rui Abreu

  • Effect of test set minimization on fault detection effectiveness

    W. Eric Wong;Joseph R. Horgan;Saul London;Aditya P. Mathur

  • A study of effective regression testing in practice

    Unknown

  • The DStar Method for Effective Software Fault Localization

    W. Eric Wong;Vidroha Debroy;Ruizhi Gao;Yihao Li

  • Fault localization using execution slices and dataflow tests

    Unknown

  • Reducing the cost of mutation testing: an empirical study

    W. Eric Wong;Aditya P. Mathur

  • A family of code coverage-based heuristics for effective fault localization

    W. Eric Wong;Vidroha Debroy;Byoungju Choi

  • Using Mutation to Automatically Suggest Fixes for Faulty Programs

    Vidroha Debroy;W. Eric Wong

  • Test set size minimization and fault detection effectiveness: a case study in a space application

    W.E. Wong;J.R. Horgan;A.P. Mathur;A. Pasquini

  • BP NEURAL NETWORK-BASED EFFECTIVE FAULT LOCALIZATION

    W. Eric Wong;Yu Qi

  • Effective Software Fault Localization Using an RBF Neural Network

    W. E. Wong;V. Debroy;R. Golden;Xiaofeng Xu

  • An empirical comparison of data flow and mutation‐based test adequacy criteria

    Aditya P. Mathur;W. Eric Wong

  • An analytical approach to architecture-based software reliability prediction

    S.S. Gokhale;W.E. Wong;K.S. Trivedi;J.R. Horgan

  • Test set size minimization and fault detection effectiveness: a case study in a space application

    W. Eric Wong;Joseph R. Horgan;Aditya P. Mathur;Alberto Pasquini

  • Effect of code coverage on software reliability measurement

    M.-H. Chen;M.R. Lyu;W.E. Wong

  • Locating program features using execution slices

    W.E. Wong;S.S. Gokhale;J.R. Horgan;K.S. Trivedi

  • An analytical approach to architecture-based software performance and reliability prediction

    Swapna S. Gokhale;W. Eric Wong;J. R. Horgan;Kishor S. Trivedi

  • Metamorphic slice: An application in spectrum-based fault localization

    Xiaoyuan Xie;W. Eric Wong;Tsong Yueh Chen;Baowen Xu

  • Effect of test set size and block coverage on the fault detection effectiveness

    W.E. Wong;J.R. Horgan;S. London;A.P. Mathur

  • Quantifying the closeness between program components and features

    W. Eric Wong;Swapna S. Gokhale;Joseph R. Horgan

  • Effective program debugging based on execution slices and inter-block data dependency

    W. Eric Wong;Yu Qi

  • Mutation Testing Applied to Validate Specifications Based on Petri Nets

    Sandra Camargo Pinto Ferraz Fabbri;José C. Maldonado;Paulo Cesar Masiero;Márcio E. Delamaro

Frequent Co-Authors

Aditya P. Mathur
Aditya P. Mathur Singapore University of Technology and Design
José Carlos Maldonado
José Carlos Maldonado Universidade de São Paulo
T. H. Tse
T. H. Tse University of Hong Kong
Tsong Yueh Chen
Tsong Yueh Chen Swinburne University of Technology
Baowen Xu
Baowen Xu Nanjing University
Victor R. Basili
Victor R. Basili University of Maryland, College Park
D. Richard Kuhn
D. Richard Kuhn National Institute of Standards and Technology
Raghu N. Kacker
Raghu N. Kacker National Institute of Standards and Technology
W. K. Chan
W. K. Chan City University of Hong Kong
Lingming Zhang
Lingming Zhang University of Illinois at Urbana-Champaign

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