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Zhen Ming Jiang

Zhen Ming Jiang

D-Index & Metrics

Computer Science

D-Index
38
Citations
4278
World Ranking
10415
National Ranking
418

Overview

Zhen Ming Jiang is a researcher affiliated with York University in Canada, focusing primarily on the field of Computer Science with a notable contribution of 52 publications. Their expertise spans several subfields including Information Systems, Artificial Intelligence, Computer Networks and Communications, Software, and Management Information Systems.

Their research covers a range of topics such as Software Engineering Research, Blockchain Technology Applications and Security, Software System Performance and Reliability, Cloud Computing and Resource Management, Data Stream Mining Techniques, Software Reliability and Analysis Research, and Adversarial Robustness in Machine Learning.

Zhen Ming Jiang has authored or co-authored notable papers, including:

  • GitHub Copilot AI pair programmer: Asset or Liability? (2023) published in Journal of Systems and Software
  • An exploratory study of smart contracts in the Ethereum blockchain platform (2020) published in Empirical Software Engineering
  • Developing Cost-Effective Blockchain-Powered Applications (2021) published in ACM Transactions on Software Engineering and Methodology
  • Predicting Node Failures in an Ultra-Large-Scale Cloud Computing Platform (2020) published in ACM Transactions on Software Engineering and Methodology
  • Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting (2024) published in IEEE Access

The frequent venues for their publications include:

  • ACM Transactions on Software Engineering and Methodology (7 publications)
  • Empirical Software Engineering (5 publications)
  • ACM Computing Surveys (2 publications)
  • arXiv (Cornell University) (2 publications)
  • Zenodo (CERN European Organization for Nuclear Research) (2 publications)

Collaborations are a key feature of their work, with frequent co-authorship alongside researchers such as Ahmed E. Hassan, Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, and Boyuan Chen.

The scope of Jiang's work integrates theoretical and applied aspects of software engineering and blockchain technology, contributing to understanding software system reliability, performance, and the integration of emerging technologies like AI and blockchain in practical contexts.

Best Publications

  • A Survey on Load Testing of Large-Scale Software Systems

    Zhen Ming Jiang;Ahmed E. Hassan

  • An exploratory study of smart contracts in the Ethereum blockchain platform

    Gustavo Ansaldi Oliva;Ahmed E. Hassan;Zhen Ming (Jack) Jiang

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

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

  • 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

  • An industrial study on the risk of software changes

    Emad Shihab;Ahmed E. Hassan;Bram Adams;Zhen Ming Jiang

  • Automated performance analysis of load tests

    Zhen Ming Jiang;Ahmed E. Hassan;Gilbert Hamann;Parminder Flora

  • Automatic identification of load testing problems

    Zhen Ming Jiang;A.E. Hassan;G. Hamann;P. Flora

  • Understanding the impact of code and process metrics on post-release defects: a case study on the Eclipse project

    Emad Shihab;Zhen Ming Jiang;Walid M. Ibrahim;Bram Adams

  • GitHub Copilot AI pair programmer: Asset or Liability?

    Unknown

  • Characterizing logging practices in Java-based open source software projects --- a replication study in Apache Software Foundation

    Boyuan Chen;Zhen Ming (Jack) Jiang

  • Mining Performance Regression Testing Repositories for Automated Performance Analysis

    King Chun Foo;Zhen Ming Jiang;Bram Adams;Ahmed E. Hassan

  • Abstracting Execution Logs to Execution Events for Enterprise Applications (Short Paper)

    Zhen Ming Jiang;A.E. Hassan;P. Flora;G. Hamann

  • Automated detection of performance regressions using statistical process control techniques

    Thanh H.D. Nguyen;Bram Adams;Zhen Ming Jiang;Ahmed E. Hassan

  • An automated approach for abstracting execution logs to execution events

    Zhen Ming Jiang;Ahmed E. Hassan;Gilbert Hamann;Parminder Flora

  • Characterizing and detecting anti-patterns in the logging code

    Boyuan Chen;Zhen Ming (Jack) Jiang

  • Examining the evolution of code comments in PostgreSQL

    Zhen Ming Jiang;Ahmed E. Hassan

  • Developing Cost-Effective Blockchain-Powered Applications: A Case Study of the Gas Usage of Smart Contract Transactions in the Ethereum Blockchain Platform

    Abdullah A. Zarir;Gustavo A. Oliva;Zhen M. (Jack) Jiang;Ahmed E. Hassan

  • Automated analysis of load testing results

    Zhen Ming Jiang

  • Predicting Node Failures in an Ultra-Large-Scale Cloud Computing Platform: An AIOps Solution

    Yangguang Li;Zhen Ming (Jack) Jiang;Heng Li;Ahmed E. Hassan

  • A Framework for Studying Clones In Large Software Systems

    Zhen Ming Jiang;A.E. Hassan

  • Identifying crosscutting concerns using historical code changes

    Bram Adams;Zhen Ming Jiang;Ahmed E. Hassan

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

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

Frequent Co-Authors

Ahmed E. Hassan
Ahmed E. Hassan Queen's University
Bram Adams
Bram Adams Queen's University
Weiyi Shang
Weiyi Shang University of Waterloo
Emad Shihab
Emad Shihab Concordia University
Richard C. Holt
Richard C. Holt De Montfort University
Ying Zou
Ying Zou Queen's University
Meiyappan Nagappan
Meiyappan Nagappan University of Waterloo
Abram Hindle
Abram Hindle University of Alberta
Michael W. Godfrey
Michael W. Godfrey University of Waterloo
Marin Litoiu
Marin Litoiu York University

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