World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
4962
World Ranking
10883
National Ranking
431

Overview

Weiyi Shang is affiliated with the University of Waterloo in Canada and conducts research primarily in the field of Computer Science. Their work spans several subfields including Information Systems, Artificial Intelligence, Computer Networks and Communications, Software, and Computer Vision and Pattern Recognition.

The scientist's research topics encompass areas such as Software System Performance and Reliability, Software Engineering Research, Software Testing and Debugging Techniques, Topic Modeling, Cloud Computing and Resource Management, Software Reliability and Analysis Research, and Advanced Malware Detection Techniques.

Recent notable publications of Weiyi Shang include:

  • An Empirical Study of the Impact of Hyperparameter Tuning and Model Optimization on the Performance Properties of Deep Neural Networks (2022), ACM Transactions on Software Engineering and Methodology
  • Logram: Efficient Log Parsing Using n-Gram Dictionaries (2020), IEEE Transactions on Software Engineering
  • A Qualitative Study of the Benefits and Costs of Logging From Developers' Perspectives (2020), IEEE Transactions on Software Engineering
  • A Systematic Review of API Evolution Literature (2021), ACM Computing Surveys
  • PerfJIT: Test-Level Just-in-Time Prediction for Performance Regression Introducing Commits (2020), IEEE Transactions on Software Engineering

Frequent co-authors of Weiyi Shang include Heng Li, Zishuo Ding, Jinfu Chen, Lizhi Liao, and Tse-Hsun Chen.

Their research outputs are frequently published in venues such as IEEE Transactions on Software Engineering, arXiv (Cornell University), Empirical Software Engineering, ACM Transactions on Software Engineering and Methodology, and the Journal of Systems and Software.

Best Publications

  • Studying the effectiveness of application performance management (APM) tools for detecting performance regressions for web applications: an experience report

    Tarek M. Ahmed;Cor-Paul Bezemer;Tse-Hsun Chen;Ahmed E. Hassan

  • A Framework for Evaluating the Results of the SZZ Approach for Identifying Bug-Introducing Changes

    Daniel Alencar da Costa;Shane McIntosh;Weiyi Shang;Uira Kulesza

  • An empirical study on inconsistent changes to code clones at the release level

    Nicolas Bettenburg;Weiyi Shang;Walid M. Ibrahim;Bram Adams

  • Assisting developers of big data analytics applications when deploying on hadoop clouds

    Weiyi Shang;Zhen Ming Jiang;Hadi Hemmati;Brain Adams

  • An Empirical Study of the Impact of Hyperparameter Tuning and Model Optimization on the Performance Properties of Deep Neural Networks

    Unknown

  • An exploratory study of the evolution of communicated information about the execution of large software systems

    Weiyi Shang;Zhen Ming Jiang;Bram Adams;Ahmed E. Hassan

  • Detecting performance anti-patterns for applications developed using object-relational mapping

    Tse-Hsun Chen;Weiyi Shang;Zhen Ming Jiang;Ahmed E. Hassan

  • Logram: Efficient Log Parsing Using n-Gram Dictionaries

    Hetong Dai;Heng Li;Weiyi Shang;Tse-Hsun Chen

  • Examining the stability of logging statements

    Suhas Kabinna;Cor-Paul Bezemer;Weiyi Shang;Mark D. Syer

  • Which log level should developers choose for a new logging statement

    Heng Li;Weiyi Shang;Ahmed E. Hassan

  • Studying the Impact of Clones on Software Defects

    Gehan M.K. Selim;Liliane Barbour;Weiyi Shang;Bram Adams

  • Towards just-in-time suggestions for log changes

    Heng Li;Weiyi Shang;Ying Zou;Ahmed E. Hassan

  • Studying software logging using topic models

    Heng Li;Tse-Hsun (Peter) Chen;Weiyi Shang;Ahmed E. Hassan

  • Examining the Stability of Logging Statements

    Suhas Kabinna;Weiyi Shang;Cor-Paul Bezemer;Ahmed E. Hassan

  • Logging library migrations: a case study for the apache software foundation projects

    Suhas Kabinna;Cor-Paul Bezemer;Weiyi Shang;Ahmed E. Hassan

  • A Systematic Review of API Evolution Literature

    Maxime Lamothe;Yann-Gaël Guéhéneuc;Weiyi Shang

  • Studying the relationship between logging characteristics and the code quality of platform software

    Weiyi Shang;Meiyappan Nagappan;Ahmed E. Hassan

  • A Qualitative Study of the Benefits and Costs of Logging from Developers' Perspectives

    Heng Li;Weiyi Shang;Bram Adams;Mohammed Sayagh

  • Automated Detection of Performance Regressions Using Regression Models on Clustered Performance Counters

    Weiyi Shang;Ahmed E. Hassan;Mohamed Nasser;Parminder Flora

  • MapReduce as a general framework to support research in Mining Software Repositories (MSR)

    Weiyi Shang;Zhen Ming Jiang;Bram Adams;Ahmed E. Hassan

  • CacheOptimizer: helping developers configure caching frameworks for hibernate-based database-centric web applications

    Tse-Hsun Chen;Weiyi Shang;Ahmed E. Hassan;Mohamed Nasser

  • Which log level should developers choose for a new logging statement? (journal-first abstract)

    Heng Li;Weiyi Shang;Ahmed E. Hassan

Frequent Co-Authors

Ahmed E. Hassan
Ahmed E. Hassan Queen's University
Heng Li
Heng Li Hong Kong Polytechnic University
Zhen Ming Jiang
Zhen Ming Jiang York University
Bram Adams
Bram Adams Queen's University
Emad Shihab
Emad Shihab Concordia University
Ying Zou
Ying Zou Queen's University
Meiyappan Nagappan
Meiyappan Nagappan University of Waterloo
Pooyan Jamshidi
Pooyan Jamshidi University of South Carolina
Michael W. Godfrey
Michael W. Godfrey University of Waterloo
Yasutaka Kamei
Yasutaka Kamei Kyushu University

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