All Stories

  1. The Hitchhikers Guide to Production-ready Trustworthy Foundation Model Powered Software (FMware)

    Article • August 2025, ACM (Association for Computing Machinery)

    Zhen Ming (Jack) Jiang

  2. SimClone: Detecting Tabular Data Clones Using Value Similarity

    Article • ACM Transactions on Software Engineering and Methodology, December 2024, ACM (Association for Computing Machinery)

    Dayi Lin, Zhen Ming (Jack) Jiang

  3. An Empirical Study of Testing Machine Learning in the Wild

    Article • ACM Transactions on Software Engineering and Methodology, December 2024, ACM (Association for Computing Machinery)

    Professor Foutse Khomh, Moses Openja, Zhen Ming (Jack) Jiang

  4. A Systematic Literature Review on Automated Software Vulnerability Detection Using Machine Learning

    Article • ACM Computing Surveys, October 2024, ACM (Association for Computing Machinery)

    Zhen Ming (Jack) Jiang, Alvine Boaye Belle

  5. On the Model Update Strategies for Supervised Learning in AIOps Solutions

    Article • ACM Transactions on Software Engineering and Methodology, August 2024, ACM (Association for Computing Machinery)

    Zhen Ming (Jack) Jiang

  6. Rethinking Software Engineering in the Era of Foundation Models: A Curated Catalogue of Challenges in the Development of Trustworthy FMware

    Article • July 2024, ACM (Association for Computing Machinery)

    Zhen Ming (Jack) Jiang

  7. Disambiguating Performance Anomalies from Workload Changes in Cloud-Native Applications

    Article • May 2024, ACM (Association for Computing Machinery)

    Zhen Ming (Jack) Jiang, Sumona Mukhopadhyay

  8. An Empirical Comparison on the Results of Different Clone Detection Setups for C-based Projects

    Article • May 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Zhen Ming (Jack) Jiang

  9. A Survey of Software Log Instrumentation

    Article • ACM Computing Surveys, May 2022, ACM (Association for Computing Machinery)

    Zhen Ming (Jack) Jiang

  10. Towards training reproducible deep learning models

    Article • May 2022, ACM (Association for Computing Machinery)

    Zhen Ming (Jack) Jiang, Dayi Lin

  11. Towards build verifiability for Java-based systems

    Article • May 2022, ACM (Association for Computing Machinery)

    Zhen Ming (Jack) Jiang

  12. Evaluating the Scalability and Elasticity of Function as a Service Platform

    Article • April 2022, ACM (Association for Computing Machinery)

    Zhen Ming (Jack) Jiang

  13. Towards a Consistent Interpretation of AIOps Models

    Article • ACM Transactions on Software Engineering and Methodology, January 2022, ACM (Association for Computing Machinery)

    Zhen Ming (Jack) Jiang, Dayi Lin

  14. An Empirical Study of the Impact of Data Splitting Decisions on the Performance of AIOps Solutions

    Article • ACM Transactions on Software Engineering and Methodology, July 2021, ACM (Association for Computing Machinery)

    Zhen Ming (Jack) Jiang

  15. Developing Cost-Effective Blockchain-Powered Applications

    Article • ACM Transactions on Software Engineering and Methodology, March 2021, ACM (Association for Computing Machinery)

    Zhen Ming (Jack) Jiang

  16. Studying the use of Java logging utilities in the wild

    Article • June 2020, ACM (Association for Computing Machinery)

    Zhen Ming (Jack) Jiang

  17. Predicting Node Failures in an Ultra-Large-Scale Cloud Computing Platform

    Article • ACM Transactions on Software Engineering and Methodology, April 2020, ACM (Association for Computing Machinery)

    Zhen Ming (Jack) Jiang

  18. An automated approach to estimating code coverage measures via execution logs

    Article • September 2018, ACM (Association for Computing Machinery)

    Zhen Ming (Jack) Jiang

  19. LT 2015

    Article • January 2015, ACM (Association for Computing Machinery)

    Zhen Ming (Jack) Jiang

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

    Article • May 2014, ACM (Association for Computing Machinery)

    Zhen Ming (Jack) Jiang