Which log level should developers choose for a new logging statement? - Heng Li 007; Weiyi Shang; Ahmed E. Hassan (Empir. Softw. Eng., 2017)

Towards just-in-time suggestions for log changes. - Heng Li 007; Weiyi Shang; Ying Zou 001; Ahmed E. Hassan (Empir. Softw. Eng., 2017)

Adopting autonomic computing capabilities in existing large-scale systems: an industrial experience report. - Heng Li 007; Tse-Hsun (Peter) Chen; Ahmed E. Hassan; Mohamed N. Nasser; Parminder Flora (ICSE (SEIP), 2018)

Predicting the Receivers of Football Passes. - Heng Li 007; Zhiying Zhang (MLSA@PKDD/ECML, 2018)

Which log level should developers choose for a new logging statement? (journal-first abstract). - Heng Li 007; Weiyi Shang; Ahmed E. Hassan (SANER, 2018)

Towards just-in-time suggestions for log changes (journal-first abstract). - Heng Li 007; Weiyi Shang; Ying Zou 001; Ahmed E. Hassan (SANER, 2018)

Studying software logging using topic models. - Heng Li 007; Tse-Hsun (Peter) Chen; Weiyi Shang; Ahmed E. Hassan (Empir. Softw. Eng., 2018)

Mining development knowledge to understand and support software logging practices. - Heng Li 007 (2018)

Improving the testing efficiency of selenium-based load tests. - Shahnaz M. Shariff; Heng Li 007; Cor-Paul Bezemer; Ahmed E. Hassan; Thanh H. D. Nguyen; Parminder Flora (AST@ICSE, 2019)

Logram: Efficient Log Parsing Using n-Gram Dictionaries. - Hetong Dai; Heng Li 007; Weiyi Shang; Tse-Hsun Chen; Che-Shao Chen (CoRR, 2020)

Using black-box performance models to detect performance regressions under varying workloads: an empirical study. - Lizhi Liao; Jinfu Chen 002; Heng Li 007; Yi Zeng; Weiyi Shang; Jianmei Guo; Catalin Sporea; Andrei Toma; Sarah Sajedi (Empir. Softw. Eng., 2020)

A study of the performance of general compressors on log files. - Kundi Yao; Heng Li 007; Weiyi Shang; Ahmed E. Hassan (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)

DeepLV: Suggesting Log Levels Using Ordinal Based Neural Networks. - Zhenhao Li 002; Heng Li 007; Tse-Hsun Peter Chen; Weiyi Shang (ICSE, 2021)

Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues. - Mohamed Raed El aoun; Heng Li 007; Foutse Khomh; Moses Openja (ICSME, 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)

A Qualitative Study of the Benefits and Costs of Logging From Developers' Perspectives. - Heng Li 007; Weiyi Shang; Bram Adams; Mohammed Sayagh; Ahmed E. Hassan (IEEE Trans. Software Eng., 2021)

Studying the Practices of Deploying Machine Learning Projects on Docker. - Moses Openja; Forough Majidi; Foutse Khomh; Bhagya Chembakottu; Heng Li 007 (EASE, 2022)

An Empirical Study on the Usage of Automated Machine Learning Tools. - Forough Majidi; Moses Openja; Foutse Khomh; Heng Li 007 (ICSME, 2022)

LoGenText: Automatically Generating Logging Texts Using Neural Machine Translation. - Zishuo Ding; Heng Li 007; Weiyi Shang (SANER, 2022)

On the Importance of Performing App Analysis Within Peer Groups. - Safwat Hassan; Heng Li 007; Ahmed E. Hassan (SANER, 2022)

Bug Characteristics in Quantum Software Ecosystem. - Mohamed Raed El aoun; Heng Li 007; Foutse Khomh; Lionel N. Tidjon (CoRR, 2022)

Can pre-trained code embeddings improve model performance? Revisiting the use of code embeddings in software engineering tasks. - Zishuo Ding; Heng Li 007; Weiyi Shang; Tse-Hsun Peter Chen (Empir. Softw. Eng., 2022)

Studying logging practice in test code. - Haonan Zhang; Yiming Tang 002; Maxime Lamothe; Heng Li 007; Weiyi Shang (Empir. Softw. Eng., 2022)

An Empirical Study of the Impact of Hyperparameter Tuning and Model Optimization on the Performance Properties of Deep Neural Networks. - Lizhi Liao; Heng Li 007; Weiyi Shang; Lei Ma 003 (ACM Trans. Softw. Eng. Methodol., 2022)

Logram: Efficient Log Parsing Using $n$n-Gram Dictionaries. - Hetong Dai; Heng Li 007; Che-Shao Chen; Weiyi Shang; Tse-Hsun Chen (IEEE Trans. Software Eng., 2022)

Assisting Example-Based API Misuse Detection via Complementary Artificial Examples. - Maxime Lamothe; Heng Li 007; Weiyi Shang (IEEE Trans. Software Eng., 2022)

Studying the Practices of Logging Exception Stack Traces in Open-Source Software Projects. - Heng Li 007; Haoxiang Zhang 001; Shaowei Wang 002; Ahmed E. Hassan (IEEE Trans. Software Eng., 2022)

Locating Performance Regression Root Causes in the Field Operations of Web-Based Systems: An Experience Report. - Lizhi Liao; Jinfu Chen 002; Heng Li 007; Yi Zeng; Weiyi Shang; Catalin Sporea; Andrei Toma; Sarah Sajedi (IEEE Trans. Software Eng., 2022)

LogAssist: Assisting Log Analysis Through Log Summarization. - Steven Locke; Heng Li 007; Tse-Hsun Peter Chen; Weiyi Shang; Wei Liu 155 (IEEE Trans. Software Eng., 2022)

A Study of C/C++ Code Weaknesses on Stack Overflow. - Haoxiang Zhang 001; Shaowei Wang 002; Heng Li 007; Tse-Hsun Chen; Ahmed E. Hassan (IEEE Trans. Software Eng., 2022)

PILAR: Studying and Mitigating the Influence of Configurations on Log Parsing. - Hetong Dai; Yiming Tang 002; Heng Li 007; Weiyi Shang (ICSE, 2023)

On the Temporal Relations between Logging and Code. - Zishuo Ding; Yiming Tang 002; Yang Li; Heng Li 007; Weiyi Shang (ICSE, 2023)

Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges. - Ahmed Haj Yahmed; Altaf Allah Abbassi; Amin Nikanjam; Heng Li 007; Foutse Khomh (ICSME, 2023)

IoPV: On Inconsistent Option Performance Variations. - Jinfu Chen 002; Zishuo Ding; Yiming Tang 002; Mohammed Sayagh; Heng Li 007; Bram Adams; Weiyi Shang (ESEC/SIGSOFT FSE, 2023)

Adapting Performance Analytic Techniques in a Real-World Database-Centric System: An Industrial Experience Report. - Lizhi Liao; Heng Li 007; Weiyi Shang; Catalin Sporea; Andrei Toma; Sarah Sajedi (ESEC/SIGSOFT FSE, 2023)

LTB'23 Workshop Chairs' Welcome. - Alexander Podelko; Heng Li 007; Changyuan Lin (ICPE (Companion), 2023)

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

Towards Learning Generalizable Code Embeddings Using Task-agnostic Graph Convolutional Networks. - Zishuo Ding; Heng Li 007; Weiyi Shang; Tse-Hsun (Peter) Chen (ACM Trans. Softw. Eng. Methodol., 2023)

Studying the challenges of developing hardware description language programs. - Fatemeh Yousefifeshki; Heng Li 007; Foutse Khomh (Inf. Softw. Technol., 2023)

Studying the characteristics of AIOps projects on GitHub. - Roozbeh Aghili; Heng Li 007; Foutse Khomh (Empir. Softw. Eng., 2023)

On the effectiveness of log representation for log-based anomaly detection. - Xingfang Wu; Heng Li 007; Foutse Khomh (Empir. Softw. Eng., 2023)

A large-scale exploratory study of android sports apps in the google play store. - Bhagya Chembakottu; Heng Li 007; Foutse Khomh (Inf. Softw. Technol., 2023)

An Empirical Study of Refactoring Rhythms and Tactics in the Software Development Process. - Shayan Noei; Heng Li 007; Stefanos Georgiou; Ying Zou 001 (IEEE Trans. Software Eng., 2023)

Understanding Web Application Workloads and Their Applications: Systematic Literature Review and Characterization. - Roozbeh Aghili; Qiaolin Qin; Heng Li 007; Foutse Khomh (ICSME, 2024)

Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detection. - Xingfang Wu; Heng Li 007; Nobukazu Yoshioka; Hironori Washizaki; Foutse Khomh (SANER, 2024)

Workshop on Challenges in Performance Methods for Software Development (WOSP-C). - Luca Traini; Heng Li 007 (ICPE (Companion), 2024)

An Empirical Study of Sensitive Information in Logs. - Roozbeh Aghili; Heng Li 007; Foutse Khomh (CoRR, 2024)

How do Practitioners Perceive Energy Consumption on Stack Overflow? - Bihui Jin; Heng Li 007; Ying Zou 001 (CoRR, 2024)

Tracing Optimization for Performance Modeling and Regression Detection. - Kaveh Shahedi; Heng Li 007; Maxime Lamothe; Foutse Khomh (CoRR, 2024)

An Efficient Model Maintenance Approach for MLOps. - Forough Majidi; Foutse Khomh; Heng Li 007; Amin Nikanjam (CoRR, 2024)

Studying logging practice in machine learning-based applications. - Patrick Loic Foalem; Foutse Khomh; Heng Li 007 (Inf. Softw. Technol., 2024)

LoGenText-Plus: Improving Neural Machine Translation Based Logging Texts Generation with Syntactic Templates. - Zishuo Ding; Yiming Tang 002; Xiaoyu Cheng; Heng Li 007; Weiyi Shang (ACM Trans. Softw. Eng. Methodol., 2024)

A literature review and existing challenges on software logging practices. - Mohamed Amine Batoun; Mohammed Sayagh; Roozbeh Aghili; Ali Ouni 001; Heng Li 007 (Empir. Softw. Eng., 2024)

Characterizing and classifying developer forum posts with their intentions. - Xingfang Wu; Eric Laufer; Heng Li 007; Foutse Khomh; Santhosh Srinivasan; Jayden Luo (Empir. Softw. Eng., 2024)

Reducing the Length of Field-Replay Based Load Testing. - Yuanjie Xia 002; Lizhi Liao; Jinfu Chen 002; Heng Li 007; Weiyi Shang (IEEE Trans. Software Eng., 2024)

What causes exceptions in machine learning applications? Mining machine learning-related stack traces on Stack Overflow. - Amin Ghadesi; Maxime Lamothe; Heng Li 007 (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)

Early Detection of Performance Regressions by Bridging Local Performance Data and Architectural Models. - Lizhi Liao; Simon Eismann; Heng Li 007; Cor-Paul Bezemer; Diego Elias Costa; André van Hoorn; Weiyi Shang (ICSE, 2025)

Automated, Unsupervised, and Auto-Parameterized Inference of Data Patterns and Anomaly Detection. - Qiaolin Qin; Heng Li 007; Ettore Merlo; Maxime Lamothe (ICSE, 2025)

JPerfEvo: A Tool for Tracking Method-Level Performance Changes in Java Projects. - Kaveh Shahedi; Maxime Lamothe; Foutse Khomh; Heng Li 007 (MSR, 2025)

LogLSHD: Fast Log Parsing with Locality-Sensitive Hashing and Dynamic Time Warping. - Shu-Wei Huang; Xingfang Wu; Heng Li 007 (PROMISE, 2025)

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study. - Genevieve Caumartin; Qiaolin Qin; Sharon Chatragadda; Janmitsinh Panjrolia; Heng Li 007; Diego Elias Costa (SANER, 2025)

Preprocessing is All You Need: Boosting the Performance of Log Parsers with a General Preprocessing Framework. - Qiaolin Qin; Roozbeh Aghili; Heng Li 007; Ettore Merlo (SANER, 2025)

Kernel-Level Event-Based Performance Anomaly Detection in Software Systems under Varying Load Conditions. - Anthonia Njoku; Heng Li 007; Foutse Khomh (ICPE (Companion), 2025)

Protecting Privacy in Software Logs: What Should Be Anonymized? - Roozbeh Aghili; Heng Li 007; Foutse Khomh (Proc. ACM Softw. Eng., 2025)

An Empirical Study on Release-Wise Refactoring Patterns. - Shayan Noei; Heng Li 007; Ying Zou 001 (Proc. ACM Softw. Eng., 2025)

Detecting Refactoring Commits in Machine Learning Python Projects: A Machine Learning-Based Approach. - Shayan Noei; Heng Li 007; Ying Zou 001 (ACM Trans. Softw. Eng. Methodol., 2025)

Can We Recycle Our Old Models? An Empirical Evaluation of Model Selection Mechanisms for AIOps Solutions. - Yingzhe Lyu; Hao Li 094; Heng Li 007; Ahmed E. Hassan (CoRR, 2025)

SDLog: A Deep Learning Framework for Detecting Sensitive Information in Software Logs. - Roozbeh Aghili; Xingfang Wu; Foutse Khomh; Heng Li 007 (CoRR, 2025)

Adversarial Attack Classification and Robustness Testing for Large Language Models for Code. - Yang Liu; Armstrong Foundjem; Foutse Khomh; Heng Li 007 (CoRR, 2025)

Logging requirement for continuous auditing of responsible machine learning-based applications. - Patrick Loic Foalem; Léuson M. P. da Silva; Foutse Khomh; Heng Li 007; Ettore Merlo (Empir. Softw. Eng., 2025)

Impact of extensions on browser performance: An empirical study on google chrome. - Bihui Jin; Heng Li 007; Ying Zou 001 (Empir. Softw. Eng., 2025)

From Technical Excellence to Practical Adoption: Lessons Learned Building an ML-Enhanced Trace Analysis Tool. - Kaveh Shahedi; Matthew Khouzam; Heng Li 007; Maxime Lamothe; Foutse Khomh (CoRR, 2025)

What information contributes to log-based anomaly detection? Insights from a configurable transformer-based approach. - Xingfang Wu; Heng Li 007; Foutse Khomh (Autom. Softw. Eng., 2025)