Source versus Object Code Extraction for Recovering Software Architecture. - Ahmed E. Hassan; Zhen Ming Jiang; Richard C. Holt (WCRE, 2005)

Visualizing Clone Cohesion and Coupling. - Zhen Ming Jiang; Ahmed E. Hassan; Richard C. Holt (APSEC, 2006)

Examining the evolution of code comments in PostgreSQL. - Zhen Ming Jiang; Ahmed E. Hassan (MSR, 2006)

A Framework for Studying Clones In Large Software Systems. - Zhen Ming Jiang; Ahmed E. Hassan (SCAM, 2007)

YARN: Animating Software Evolution. - Abram Hindle; Zhen Ming Jiang; Walid Koleilat; Michael W. Godfrey; Richard C. Holt (VISSOFT, 2007)

Automatic identification of load testing problems. - Zhen Ming Jiang; Ahmed E. Hassan; Gilbert Hamann; Parminder Flora (ICSM, 2008)

Understanding the rationale for updating a function's comment. - Haroon Malik; Istehad Chowdhury; Hsiao-Ming Tsou; Zhen Ming Jiang; Ahmed E. Hassan (ICSM, 2008)

Retrieving relevant reports from a customer engagement repository. - Dharmesh Thakkar; Zhen Ming Jiang; Ahmed E. Hassan; Gilbert Hamann; Parminder Flora (ICSM, 2008)

Abstracting Execution Logs to Execution Events for Enterprise Applications (Short Paper). - Zhen Ming Jiang; Ahmed E. Hassan; Parminder Flora; Gilbert Hamann (QSIC, 2008)

An automated approach for abstracting execution logs to execution events. - Zhen Ming Jiang; Ahmed E. Hassan; Gilbert Hamann; Parminder Flora (J. Softw. Maintenance Res. Pract., 2008)

Automated performance analysis of load tests. - Zhen Ming Jiang; Ahmed E. Hassan; Gilbert Hamann; Parminder Flora (ICSM, 2009)

Studying the use of developer IRC meetings in open source projects. - Emad Shihab; Zhen Ming Jiang; Ahmed E. Hassan (ICSM, 2009)

MapReduce as a general framework to support research in Mining Software Repositories (MSR). - Weiyi Shang; Zhen Ming Jiang; Bram Adams; Ahmed E. Hassan (MSR, 2009)

On the use of Internet Relay Chat (IRC) meetings by developers of the GNOME GTK+ project. - Emad Shihab; Zhen Ming Jiang; Ahmed E. Hassan (MSR, 2009)

Automatic Comparison of Load Tests to Support the Performance Analysis of Large Enterprise Systems. - Haroon Malik; Zhen Ming Jiang; Bram Adams; Ahmed E. Hassan; Parminder Flora; Gilbert Hamann (CSMR, 2010)

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; Ahmed E. Hassan (ESEM, 2010)

Identifying crosscutting concerns using historical code changes. - Bram Adams; Zhen Ming Jiang; Ahmed E. Hassan (ICSE (1), 2010)

Automated analysis of load testing results. - Zhen Ming Jiang (ISSTA, 2010)

Mining Challenge 2010: FreeBSD, GNOME Desktop and Debian/Ubuntu. - Abram Hindle; Israel Herraiz; Emad Shihab; Zhen Ming Jiang (MSR, 2010)

Mining Performance Regression Testing Repositories for Automated Performance Analysis. - King Chun Foo; Zhen Ming Jiang; Bram Adams; Ahmed E. Hassan; Ying Zou 001; Parminder Flora (QSIC, 2010)

Prioritizing Unit Test Creation for Test-Driven Maintenance of Legacy Systems. - Emad Shihab; Zhen Ming Jiang; Bram Adams; Ahmed E. Hassan; Robert Bowerman (QSIC, 2010)

An Industrial Case Study on Speeding Up User Acceptance Testing by Mining Execution Logs. - Zhen Ming Jiang; Alberto Avritzer; Emad Shihab; Ahmed E. Hassan; Parminder Flora (SSIRI, 2010)

Automated Verification of Load Tests Using Control Charts. - Thanh H. D. Nguyen; Bram Adams; Zhen Ming Jiang; Ahmed E. Hassan; Mohamed N. Nasser; Parminder Flora (APSEC, 2011)

Modeling the performance of Ultra-Large-Scale systems using layered simulations. - King Chun Foo; Zhen Ming Jiang; Bram Adams; Ahmed E. Hassan; Ying Zou 001; Kim Martin; Parminder Flora (MESOCA, 2011)

Prioritizing the creation of unit tests in legacy software systems. - Emad Shihab; Zhen Ming Jiang; Bram Adams; Ahmed E. Hassan; Robert Bowerman (Softw. Pract. Exp., 2011)

An industrial study on the risk of software changes. - Emad Shihab; Ahmed E. Hassan; Bram Adams; Zhen Ming Jiang (SIGSOFT FSE, 2012)

Automated detection of performance regressions using statistical process control techniques. - Thanh H. D. Nguyen; Bram Adams; Zhen Ming Jiang; Ahmed E. Hassan; Mohamed N. Nasser; Parminder Flora (ICPE, 2012)

2nd International Workshop on Load Testing of Large Software Systems (LT 2013). - Zhen Ming Jiang; Marin Litoiu; Ahmed E. Hassan; Paul Vytas (CASCON, 2013)

Assisting developers of big data analytics applications when deploying on hadoop clouds. - Weiyi Shang; Zhen Ming Jiang; Hadi Hemmati; Bram Adams; Ahmed E. Hassan; Patrick Martin 001 (ICSE, 2013)

Leveraging Performance Counters and Execution Logs to Diagnose Memory-Related Performance Issues. - Mark D. Syer; Zhen Ming Jiang; Meiyappan Nagappan; Ahmed E. Hassan; Mohamed N. Nasser; Parminder Flora (ICSM, 2013)

Automated Analysis of Load Testing Results. - Zhen Ming (Jack) Jiang (2013)

Detecting performance anti-patterns for applications developed using object-relational mapping. - Tse-Hsun Chen; Weiyi Shang; Zhen Ming Jiang; Ahmed E. Hassan; Mohamed N. Nasser; Parminder Flora (ICSE, 2014)

Understanding Log Lines Using Development Knowledge. - Weiyi Shang; Meiyappan Nagappan; Ahmed E. Hassan; Zhen Ming Jiang (ICSME, 2014)

Continuous validation of load test suites. - Mark D. Syer; Zhen Ming Jiang; Meiyappan Nagappan; Ahmed E. Hassan; Mohamed N. Nasser; Parminder Flora (ICPE, 2014)

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; Michael W. Godfrey; Mohamed N. Nasser; Parminder Flora (J. Softw. Evol. Process., 2014)

An Industrial Case Study on the Automated Detection of Performance Regressions in Heterogeneous Environments. - King Chun Foo; Zhen Ming Jiang; Bram Adams; Ahmed E. Hassan; Ying Zou 001; Parminder Flora (ICSE (2), 2015)

Load Testing Large-Scale Software Systems. - Zhen Ming (Jack) Jiang (ICSE (2), 2015)

LT 2015: The Fourth International Workshop on Large-Scale Testing. - Zhen Ming Jiang; Andreas Brunnert (ICPE, 2015)

A Survey on Load Testing of Large-Scale Software Systems. - Zhen Ming Jiang; Ahmed E. Hassan (IEEE Trans. Software Eng., 2015)

A Framework to Evaluate the Effectiveness of Different Load Testing Analysis Techniques. - Ruoyu Gao; Zhen Ming Jiang; Cornel Barna; Marin Litoiu (ICST, 2016)

Anomaly detection in performance regression testing by transaction profile estimation. - Shadi Ghaith; Miao Wang 002; Philip Perry; Zhen Ming Jiang; Patrick O'Sullivan; John Murphy 001 (Softw. Test. Verification Reliab., 2016)

Finding and Evaluating the Performance Impact of Redundant Data Access for Applications that are Developed Using Object-Relational Mapping Frameworks. - Tse-Hsun Chen; Weiyi Shang; Zhen Ming Jiang; Ahmed E. Hassan; Mohamed N. Nasser; Parminder Flora (IEEE Trans. Software Eng., 2016)

Characterizing and detecting anti-patterns in the logging code. - Boyuan Chen 002; Zhen Ming (Jack) Jiang (ICSE, 2017)

Analytics-Driven Load Testing: An Industrial Experience Report on Load Testing of Large-Scale Systems. - Tse-Hsun Chen; Mark D. Syer; Weiyi Shang; Zhen Ming Jiang; Ahmed E. Hassan; Mohamed N. Nasser; Parminder Flora (ICSE-SEIP, 2017)

An exploratory study on assessing the impact of environment variations on the results of load tests. - Ruoyu Gao; Zhen Ming (Jack) Jiang (MSR, 2017)

Continuous validation of performance test workloads. - Mark D. Syer; Weiyi Shang; Zhen Ming Jiang; Ahmed E. Hassan (Autom. Softw. Eng., 2017)

Characterizing logging practices in Java-based open source software projects - a replication study in Apache Software Foundation. - Boyuan Chen 002; Zhen Ming (Jack) Jiang (Empir. Softw. Eng., 2017)

An automated approach to estimating code coverage measures via execution logs. - Boyuan Chen 002; Jian Song; Peng Xu; Xing Hu 001; Zhen Ming (Jack) Jiang (ASE, 2018)

An exploratory study on assessing the energy impact of logging on Android applications. - Shaiful Alam Chowdhury; Silvia Di Nardo; Abram Hindle; Zhen Ming (Jack) Jiang (Empir. Softw. Eng., 2018)

An Industrial Experience Report on Performance-Aware Refactoring on a Database-Centric Web Application. - Boyuan Chen 002; Zhen Ming Jiang; Paul Matos; Michael Lacaria (ASE, 2019)

Extracting and studying the Logging-Code-Issue- Introducing changes in Java-based large-scale open source software systems. - Boyuan Chen 002; Zhen Ming (Jack) Jiang (Empir. Softw. Eng., 2019)

Assessing and optimizing the performance impact of the just-in-time configuration parameters - a case study on PyPy. - Yangguang Li 003; Zhen Ming (Jack) Jiang (Empir. Softw. Eng., 2019)

Performance Issues? Hey DevOps, Mind the Uncertainty. - Catia Trubiani; Pooyan Jamshidi; Jürgen Cito; Weiyi Shang; Zhen Ming Jiang; Markus Borg (IEEE Softw., 2019)

Studying the use of Java logging utilities in the wild. - Boyuan Chen 002; Zhen Ming (Jack) Jiang (ICSE, 2020)

An Empirical Study on Release Engineering Practices in Open Source ML Package Repositories. - Minke Xiu; Ellis E. Eghan; Zhen Ming Jiang; Bram Adams (CoRR, 2020)

Code cloning in smart contracts: a case study on verified contracts from the Ethereum blockchain platform. - Masanari Kondo; Gustavo Ansaldi Oliva; Zhen Ming (Jack) Jiang; Ahmed E. Hassan; Osamu Mizuno (Empir. Softw. Eng., 2020)

An exploratory study of smart contracts in the Ethereum blockchain platform. - Gustavo Ansaldi Oliva; Ahmed E. Hassan; Zhen Ming (Jack) Jiang (Empir. Softw. Eng., 2020)

Predicting Node Failures in an Ultra-Large-Scale Cloud Computing Platform: An AIOps Solution. - Yangguang Li 003; Zhen Ming (Jack) Jiang; Heng Li 007; Ahmed E. Hassan; Cheng He; Ruirui Huang; Zhengda Zeng; Mian Wang; Pinan Chen (ACM Trans. Softw. Eng. Methodol., 2020)

Can I use this publicly available dataset to build commercial AI software? Most likely not. - Gopi Krishnan Rajbahadur; Erika Tuck; Li Zi; Zhang Wei; Dayi Lin; Boyuan Chen 002; Zhen Ming Jiang; Daniel Morales German (CoRR, 2021)

An Exploratory Study of Machine Learning Model Stores. - Minke Xiu; Zhen Ming Jack Jiang; Bram Adams (IEEE Softw., 2021)

An Empirical Study of the Impact of Data Splitting Decisions on the Performance of AIOps Solutions. - Yingzhe Lyu; Heng Li 007; Mohammed Sayagh; Zhen Ming (Jack) Jiang; Ahmed E. Hassan (ACM Trans. Softw. Eng. Methodol., 2021)

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 Ansaldi Oliva; Zhen Ming (Jack) Jiang; Ahmed E. Hassan (ACM Trans. Softw. Eng. Methodol., 2021)

Towards Training Reproducible Deep Learning Models. - Boyuan Chen 002; Mingzhi Wen; Yong Shi 010; Dayi Lin; Gopi Krishnan Rajbahadur; Zhen Ming Jiang (ICSE, 2022)

Towards Build Verifiability for Java-based Systems. - Jiawen Xiong; Yong Shi 010; Boyuan Chen 002; Filipe Roseiro Côgo; Zhen Ming Jiang (ICSE (SEIP), 2022)

An Empirical Study of Challenges in Converting Deep Learning Models. - Moses Openja; Amin Nikanjam; Ahmed Haj Yahmed; Foutse Khomh; Zhen Ming Jack Jiang (ICSME, 2022)

Evaluating the Scalability and Elasticity of Function as a Service Platform. - Kim Long Ngo; Joydeep Mukherjee; Zhen Ming Jiang; Marin Litoiu (ICPE, 2022)

Has Your FaaS Application Been Decommissioned Yet? - A Case Study on the Idle Timeout in Function as a Service Infrastructure. - Kim Long Ngo; Joydeep Mukherjee; Zhen Ming Jiang; Marin Litoiu (CoRR, 2022)

Towards a Change Taxonomy for Machine Learning Systems. - Aaditya Bhatia; Ellis E. Eghan; Manel Grichi; William G. Cavanagh; Zhen Ming Jiang; Bram Adams (CoRR, 2022)

A Survey of Software Log Instrumentation. - Boyuan Chen 002; Zhen Ming (Jack) Jiang (ACM Comput. Surv., 2022)

Towards a Consistent Interpretation of AIOps Models. - Yingzhe Lyu; Gopi Krishnan Rajbahadur; Dayi Lin; Boyuan Chen 002; Zhen Ming (Jack) Jiang (ACM Trans. Softw. Eng. Methodol., 2022)

An Experience Report on Producing Verifiable Builds for Large-Scale Commercial Systems. - Yong Shi 010; Mingzhi Wen; Filipe Roseiro Côgo; Boyuan Chen 002; Zhen Ming Jiang (IEEE Trans. Software Eng., 2022)

An Empirical Comparison on the Results of Different Clone Detection Setups for C-based Projects. - Yan Zhou; Jinfu Chen 002; Yong Shi 010; Boyuan Chen 002; Zhen Ming Jack Jiang (ICSE-SEIP, 2023)

A Survey on Automated Software Vulnerability Detection Using Machine Learning and Deep Learning. - Nima Shiri Harzevili; Alvine Boaye Belle; Junjie Wang 001; Song Wang 009; Zhen Ming Jiang; Nachiappan Nagappan (CoRR, 2023)

A First Look at Fairness of Machine Learning Based Code Reviewer Recommendation. - Mohammad Mahdi Mohajer; Alvine Boaye Belle; Nima Shiri Harzevili; Junjie Wang 001; Hadi Hemmati; Song Wang 009; Zhen Ming Jiang (CoRR, 2023)

Assessing the Maturity of Model Maintenance Techniques for AIOps Solutions. - Yingzhe Lyu; Heng Li 007; Zhen Ming Jiang; Ahmed E. Hassan (CoRR, 2023)

A Survey on Query-based API Recommendation. - Moshi Wei; Nima Shiri Harzevili; Alvine Boaye Belle; Junjie Wang 001; Lin Shi 006; Jinqiu Yang 001; Song Wang 009; Zhen Ming Jiang (CoRR, 2023)

Studying the Practices of Testing Machine Learning Software in the Wild. - Moses Openja; Foutse Khomh; Armstrong Foundjem; Zhen Ming Jiang; Mouna Abidi; Ahmed E. Hassan (CoRR, 2023)

Towards a change taxonomy for machine learning pipelines. - Aaditya Bhatia; Ellis E. Eghan; Manel Grichi; William G. Cavanagh; Zhen Ming (Jack) Jiang; Bram Adams (Empir. Softw. Eng., 2023)

Bugs in machine learning-based systems: a faultload benchmark. - Mohammad Mehdi Morovati; Amin Nikanjam; Foutse Khomh; Zhen Ming (Jack) Jiang (Empir. Softw. Eng., 2023)

GitHub Copilot AI pair programmer: Asset or Liability? - Arghavan Moradi Dakhel; Vahid Majdinasab; Amin Nikanjam; Foutse Khomh; Michel C. Desmarais; Zhen Ming (Jack) Jiang (J. Syst. Softw., 2023)

Fairness Analysis of Machine Learning-Based Code Reviewer Recommendation. - Mohammad Mahdi Mohajer; Alvine Boaye Belle; Nima Shiri Harzevili; Junjie Wang 001; Hadi Hemmati; Song Wang 009; Zhen Ming (Jack) Jiang (BIAS, 2024)

Rethinking Software Engineering in the Era of Foundation Models: A Curated Catalogue of Challenges in the Development of Trustworthy FMware. - Ahmed E. Hassan; Dayi Lin; Gopi Krishnan Rajbahadur; Keheliya Gallaba; Filipe Roseiro Côgo; Boyuan Chen 002; Haoxiang Zhang 001; Kishanthan Thangarajah; Gustavo Ansaldi Oliva; Jiahuei (Justina) Lin; Wali Mohammad Abdullah; Zhen Ming (Jack) Jiang (SIGSOFT FSE Companion, 2024)

Disambiguating Performance Anomalies from Workload Changes in Cloud-Native Applications. - Alexandru Baluta; Yar Rouf; Joydeep Mukherjee; Zhen Ming Jiang; Marin Litoiu (ICPE, 2024)

Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting. - Hao Li 094; Gopi Krishnan Rajbahadur; Dayi Lin; Cor-Paul Bezemer; Zhen Ming Jiang (IEEE Access, 2024)

Rethinking Software Engineering in the Foundation Model Era: A Curated Catalogue of Challenges in the Development of Trustworthy FMware. - Ahmed E. Hassan; Dayi Lin; Gopi Krishnan Rajbahadur; Keheliya Gallaba; Filipe Roseiro Côgo; Boyuan Chen 002; Haoxiang Zhang 001; Kishanthan Thangarajah; Gustavo Ansaldi Oliva; Jiahuei Lin; Wali Mohammad Abdullah; Zhen Ming Jiang (CoRR, 2024)

Rethinking Software Engineering in the Foundation Model Era: From Task-Driven AI Copilots to Goal-Driven AI Pair Programmers. - Ahmed E. Hassan; Gustavo Ansaldi Oliva; Dayi Lin; Boyuan Chen 002; Zhen Ming Jiang (CoRR, 2024)

Towards AI-Native Software Engineering (SE 3.0): A Vision and a Challenge Roadmap. - Ahmed E. Hassan; Gustavo Ansaldi Oliva; Dayi Lin; Boyuan Chen 002; Zhen Ming Jiang (CoRR, 2024)

Checker Bug Detection and Repair in Deep Learning Libraries. - Nima Shiri Harzevili; Mohammad Mahdi Mohajer; Jiho Shin; Moshi Wei; Gias Uddin 001; Jinqiu Yang 001; Junjie Wang 001; Song Wang 009; Zhen Ming Jiang; Nachiappan Nagappan (CoRR, 2024)

Predicting post-release defects with knowledge units (KUs) of programming languages: an empirical study. - Md. Ahasanuzzaman; Gustavo Ansaldi Oliva; Ahmed E. Hassan; Zhen Ming Jiang (CoRR, 2024)

Bug characterization in machine learning-based systems. - Mohammad Mehdi Morovati; Amin Nikanjam; Florian Tambon; Foutse Khomh; Zhen Ming (Jack) Jiang (Empir. Softw. Eng., 2024)

On the Model Update Strategies for Supervised Learning in AIOps Solutions. - Yingzhe Lyu; Heng Li 007; Zhen Ming (Jack) Jiang; Ahmed E. Hassan (ACM Trans. Softw. Eng. Methodol., 2024)

An Empirical Study of Testing Machine Learning in the Wild. - Moses Openja; Foutse Khomh; Armstrong Foundjem; Zhen Ming (Jack) Jiang; Mouna Abidi; Ahmed E. Hassan (ACM Trans. Softw. Eng. Methodol., 2025)

SimClone: Detecting Tabular Data Clones Using Value Similarity. - Xu Yang; Gopi Krishnan Rajbahadur; Dayi Lin; Shaowei Wang 002; Zhen Ming (Jack) Jiang (ACM Trans. Softw. Eng. Methodol., 2025)

A Systematic Literature Review on Automated Software Vulnerability Detection Using Machine Learning. - Nima Shiri Harzevili; Alvine Boaye Belle; Junjie Wang 001; Song Wang 009; Zhen Ming (Jack) Jiang; Nachiappan Nagappan (ACM Comput. Surv., 2025)

The Hitchhikers Guide to Production-ready Trustworthy Foundation Model powered Software (FMware). - Kirill Vasilevski; Benjamin Rombaut 002; Gopi Krishnan Rajbahadur; Gustavo Ansaldi Oliva; Keheliya Gallaba; Filipe R. Cogo; Jiahuei Lin; Dayi Lin; Haoxiang Zhang 001; Bouyan Chen; Kishanthan Thangarajah; Ahmed E. Hassan; et al. (CoRR, 2025)

A Pilot Study on LLM-Based Agentic Translation from Android to iOS: Pitfalls and Insights. - Zhili Zeng; Kimya Khakzad Shahandashti; Alvine Boaye Belle; Song Wang 009; Zhen Ming Jiang (CoRR, 2025)

MemoCoder: Automated Function Synthesis using LLM-Supported Agents. - Yiping Jia; Zhen Ming Jiang; Shayan Noei; Ying Zou 001 (CoRR, 2025)