Heng Li - RankMe

113 papers A* 6A 13B 1Journal 82Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	A Transparent and Efficient Performance Analysis Approach to Enhance DPDK Observability. ICPE Adel Belkhiri, Arnaud Fiorini, Matthew Khouzam, Heng Li
2026	J	`jnl`	An efficient model maintenance approach for MLOps. Empir. Softw. Eng. Forough Majidi, Foutse Khomh, Heng Li, Amin Nikanjam
2026	J	`jnl`	Can we recycle our old models? An empirical evaluation of model selection mechanisms for AIOps solutions. Empir. Softw. Eng. Yingzhe Lyu, Hao Li, Heng Li, Ahmed E. Hassan
2026	J	`jnl`	Empirical Characterization of Logging Smells in Machine Learning Code. CoRR Patrick Loic Foalem, Léuson M. P. da Silva, Foutse Khomh, Ettore Merlo, Heng Li
2026	J	`jnl`	Empirical Characterization of Logging Smells in Machine Learning Code. CoRR Patrick Loic Foalem, Léuson M. P. da Silva, Foutse Khomh, Heng Li, Ettore Merlo
2026	—	`conf`	Hands-On Tutorial for Mastering Linux Performance Analysis Tools. ICPE Companion Adel Belkhiri, Heng Li
2026	J	`jnl`	Improving the Robustness of Large Language Models for Code Tasks via Fine-tuning with Perturbed Data. CoRR Yang Liu, Armstrong Foundjem, Xingfang Wu, Heng Li, Foutse Khomh
2026	J	`jnl`	SecMLOps: A Comprehensive Framework for Integrating Security Throughout the MLOps Lifecycle. CoRR Xinrui Zhang, Pincan Zhao, Jason Jaskolka, Heng Li, Rongxing Lu
2026	J	`jnl`	SecMLOps: A comprehensive framework for integrating security throughout the machine learning operations lifecycle. Empir. Softw. Eng. Xinrui Zhang, Pincan Zhao, Jason Jaskolka, Heng Li, Rongxing Lu
2026	J	`jnl`	Unsupervised, robust, and lightweight detection of data pattern anomalies and outliers. Inf. Softw. Technol. Qiaolin Qin, Heng Li, Ettore Merlo
2025	J	`jnl`	A Story About Cohesion and Separation: Label-Free Metric for Log Parser Evaluation. CoRR Qiaolin Qin, Jianchen Zhao, Heng Li, Weiyi Shang, Ettore Merlo
2025	J	`jnl`	Adversarial Attack Classification and Robustness Testing for Large Language Models for Code. CoRR Yang Liu, Armstrong Foundjem, Foutse Khomh, Heng Li
2025	J	`jnl`	Adversarial attack classification and robustness testing for large language models for code. Empir. Softw. Eng. Yang Liu, Armstrong Foundjem, Foutse Khomh, Heng Li
2025	J	`jnl`	An Empirical Study on Method-Level Performance Evolution in Open-Source Java Projects. CoRR Kaveh Shahedi, Nana Gyambrah, Heng Li, Maxime Lamothe, Foutse Khomh
2025	J	`jnl`	An Empirical Study on Release-Wise Refactoring Patterns. Proc. ACM Softw. Eng. Shayan Noei, Heng Li, Ying Zou
2025	A*	`conf`	Automated, Unsupervised, and Auto-Parameterized Inference of Data Patterns and Anomaly Detection. ICSE Qiaolin Qin, Heng Li, Ettore Merlo, Maxime Lamothe
2025	J	`jnl`	Can We Recycle Our Old Models? An Empirical Evaluation of Model Selection Mechanisms for AIOps Solutions. CoRR Yingzhe Lyu, Hao Li, Heng Li, Ahmed E. Hassan
2025	J	`jnl`	Detecting Refactoring Commits in Machine Learning Python Projects: A Machine Learning-Based Approach. ACM Trans. Softw. Eng. Methodol. Shayan Noei, Heng Li, Ying Zou
2025	A*	`conf`	Early Detection of Performance Regressions by Bridging Local Performance Data and Architectural Models. ICSE Lizhi Liao, Simon Eismann, Heng Li, Cor-Paul Bezemer, Diego Elias Costa, André van Hoorn, Weiyi Shang
2025	A	`conf`	Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study. SANER Genevieve Caumartin, Qiaolin Qin, Sharon Chatragadda, Janmitsinh Panjrolia, Heng Li, Diego Elias Costa
2025	A*	`conf`	From Technical Excellence to Practical Adoption: Lessons Learned Building an ML-Enhanced Trace Analysis Tool. ASE Kaveh Shahedi, Matthew Khouzam, Heng Li, Maxime Lamothe, Foutse Khomh
2025	J	`jnl`	From Technical Excellence to Practical Adoption: Lessons Learned Building an ML-Enhanced Trace Analysis Tool. CoRR Kaveh Shahedi, Matthew Khouzam, Heng Li, Maxime Lamothe, Foutse Khomh
2025	J	`jnl`	Impact of extensions on browser performance: An empirical study on google chrome. Empir. Softw. Eng. Bihui Jin, Heng Li, Ying Zou
2025	A	`conf`	JPerfEvo: A Tool for Tracking Method-Level Performance Changes in Java Projects. MSR Kaveh Shahedi, Maxime Lamothe, Foutse Khomh, Heng Li
2025	—	`conf`	Kernel-Level Event-Based Performance Anomaly Detection in Software Systems under Varying Load Conditions. ICPE (Companion) Anthonia Njoku, Heng Li, Foutse Khomh
2025	—	`conf`	LogLSHD: Fast Log Parsing with Locality-Sensitive Hashing and Dynamic Time Warping. PROMISE Shu-Wei Huang, Xingfang Wu, Heng Li
2025	J	`jnl`	Logging Requirement for Continuous Auditing of Responsible Machine Learning-based Applications. CoRR Patrick Loic Foalem, Léuson M. P. da Silva, Foutse Khomh, Heng Li, Ettore Merlo
2025	J	`jnl`	Logging requirement for continuous auditing of responsible machine learning-based applications. Empir. Softw. Eng. Patrick Loic Foalem, Léuson M. P. da Silva, Foutse Khomh, Heng Li, Ettore Merlo
2025	J	`jnl`	Plug it and Play on Logs: A Configuration-Free Statistic-Based Log Parser. CoRR Qiaolin Qin, Xingfang Wu, Heng Li, Ettore Merlo
2025	A	`conf`	Preprocessing is All You Need: Boosting the Performance of Log Parsers with a General Preprocessing Framework. SANER Qiaolin Qin, Roozbeh Aghili, Heng Li, Ettore Merlo
2025	J	`jnl`	Protecting Privacy in Software Logs: What Should Be Anonymized? Proc. ACM Softw. Eng. Roozbeh Aghili, Heng Li, Foutse Khomh
2025	J	`jnl`	QMon: Monitoring the Execution of Quantum Circuits with Mid-Circuit Measurement and Reset. CoRR Ning Ma, Jianjun Zhao, Foutse Khomh, Shaukat Ali, Heng Li
2025	J	`jnl`	Representation-based fairness evaluation and bias correction robustness assessment in neural networks. Inf. Softw. Technol. Qiaolin Qin, Benjamin Djian, Ettore Merlo, Heng Li, Sébastien Gambs
2025	J	`jnl`	SDLog: A Deep Learning Framework for Detecting Sensitive Information in Software Logs. CoRR Roozbeh Aghili, Xingfang Wu, Foutse Khomh, Heng Li
2025	J	`jnl`	What information contributes to log-based anomaly detection? Insights from a configurable transformer-based approach. Autom. Softw. Eng. Xingfang Wu, Heng Li, Foutse Khomh
2024	J	`jnl`	A literature review and existing challenges on software logging practices. Empir. Softw. Eng. Mohamed Amine Batoun, Mohammed Sayagh, Roozbeh Aghili, Ali Ouni, Heng Li
2024	J	`jnl`	An Efficient Model Maintenance Approach for MLOps. CoRR Forough Majidi, Foutse Khomh, Heng Li, Amin Nikanjam
2024	J	`jnl`	An Empirical Study of Sensitive Information in Logs. CoRR Roozbeh Aghili, Heng Li, Foutse Khomh
2024	J	`jnl`	Automated, Unsupervised, and Auto-parameterized Inference of Data Patterns and Anomaly Detection. CoRR Qiaolin Qin, Heng Li, Ettore Merlo, Maxime Lamothe
2024	J	`jnl`	Characterizing and classifying developer forum posts with their intentions. Empir. Softw. Eng. Xingfang Wu, Eric Laufer, Heng Li, Foutse Khomh, Santhosh Srinivasan, Jayden Luo
2024	J	`jnl`	Detecting Refactoring Commits in Machine Learning Python Projects: A Machine Learning-Based Approach. CoRR Shayan Noei, Heng Li, Ying Zou
2024	J	`jnl`	Early Detection of Performance Regressions by Bridging Local Performance Data and Architectural Models. CoRR Lizhi Liao, Simon Eismann, Heng Li, Cor-Paul Bezemer, Diego Elias Costa, André van Hoorn, Weiyi Shang
2024	J	`jnl`	Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study. CoRR Genevieve Caumartin, Qiaolin Qin, Sharon Chatragadda, Janmitsinh Panjrolia, Heng Li, Diego Elias Costa
2024	J	`jnl`	How do Practitioners Perceive Energy Consumption on Stack Overflow? CoRR Bihui Jin, Heng Li, Ying Zou
2024	J	`jnl`	Impact of Extensions on Browser Performance: An Empirical Study on Google Chrome. CoRR Bihui Jin, Heng Li, Ying Zou
2024	J	`jnl`	On the Model Update Strategies for Supervised Learning in AIOps Solutions. ACM Trans. Softw. Eng. Methodol. Yingzhe Lyu, Heng Li, Zhen Ming (Jack) Jiang, Ahmed E. Hassan
2024	J	`jnl`	Preprocessing is All You Need: Boosting the Performance of Log Parsers With a General Preprocessing Framework. CoRR Qiaolin Qin, Roozbeh Aghili, Heng Li, Ettore Merlo
2024	J	`jnl`	Reducing the Length of Field-Replay Based Load Testing. IEEE Trans. Software Eng. Yuanjie Xia, Lizhi Liao, Jinfu Chen, Heng Li, Weiyi Shang
2024	A	`conf`	Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detection. SANER Xingfang Wu, Heng Li, Nobukazu Yoshioka, Hironori Washizaki, Foutse Khomh
2024	J	`jnl`	Studying logging practice in machine learning-based applications. Inf. Softw. Technol. Patrick Loic Foalem, Foutse Khomh, Heng Li
2024	J	`jnl`	Tracing Optimization for Performance Modeling and Regression Detection. CoRR Kaveh Shahedi, Heng Li, Maxime Lamothe, Foutse Khomh
2024	A	`conf`	Understanding Web Application Workloads and Their Applications: Systematic Literature Review and Characterization. ICSME Roozbeh Aghili, Qiaolin Qin, Heng Li, Foutse Khomh
2024	J	`jnl`	Understanding Web Application Workloads and Their Applications: Systematic Literature Review and Characterization. CoRR Roozbeh Aghili, Qiaolin Qin, Heng Li, Foutse Khomh
2024	J	`jnl`	What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach. CoRR Xingfang Wu, Heng Li, Foutse Khomh
2024	J	`jnl`	What causes exceptions in machine learning applications? Mining machine learning-related stack traces on Stack Overflow. Empir. Softw. Eng. Amin Ghadesi, Maxime Lamothe, Heng Li
2024	—	`conf`	Workshop on Challenges in Performance Methods for Software Development (WOSP-C). ICPE (Companion) Luca Traini, Heng Li
2024	J	`jnl`	Wrangling Data Issues to be Wrangled: Literature Review, Taxonomy, and Industry Case Study. CoRR Qiaolin Qin, Heng Li, Ettore Merlo
2023	J	`jnl`	A Large-Scale Exploratory Study of Android Sports Apps in the Google Play Store. CoRR Bhagya Chembakottu, Heng Li, Foutse Khomh
2023	J	`jnl`	A large-scale exploratory study of android sports apps in the google play store. Inf. Softw. Technol. Bhagya Chembakottu, Heng Li, Foutse Khomh
2023	—	`conf`	Adapting Performance Analytic Techniques in a Real-World Database-Centric System: An Industrial Experience Report. ESEC/SIGSOFT FSE Lizhi Liao, Heng Li, Weiyi Shang, Catalin Sporea, Andrei Toma, Sarah Sajedi
2023	J	`jnl`	An Empirical Study of Refactoring Rhythms and Tactics in the Software Development Process. IEEE Trans. Software Eng. Shayan Noei, Heng Li, Stefanos Georgiou, Ying Zou
2023	J	`jnl`	Assessing the Maturity of Model Maintenance Techniques for AIOps Solutions. CoRR Yingzhe Lyu, Heng Li, Zhen Ming Jiang, Ahmed E. Hassan
2023	J	`jnl`	Characterizing and Classifying Developer Forum Posts with their Intentions. CoRR Xingfang Wu, Eric Laufer, Heng Li, Foutse Khomh, Santhosh Srinivasan, Jayden Luo
2023	A	`conf`	Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges. ICSME Ahmed Haj Yahmed, Altaf Allah Abbassi, Amin Nikanjam, Heng Li, Foutse Khomh
2023	J	`jnl`	Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges. CoRR Ahmed Haj Yahmed, Altaf Allah Abbassi, Amin Nikanjam, Heng Li, Foutse Khomh
2023	—	`conf`	IoPV: On Inconsistent Option Performance Variations. ESEC/SIGSOFT FSE Jinfu Chen, Zishuo Ding, Yiming Tang, Mohammed Sayagh, Heng Li, Bram Adams, Weiyi Shang
2023	—	`conf`	LTB'23 Workshop Chairs' Welcome. ICPE (Companion) Alexander Podelko, Heng Li, Changyuan Lin
2023	J	`jnl`	On the Effectiveness of Log Representation for Log-based Anomaly Detection. CoRR Xingfang Wu, Heng Li, Foutse Khomh
2023	A*	`conf`	On the Temporal Relations between Logging and Code. ICSE Zishuo Ding, Yiming Tang, Yang Li, Heng Li, Weiyi Shang
2023	J	`jnl`	On the effectiveness of log representation for log-based anomaly detection. Empir. Softw. Eng. Xingfang Wu, Heng Li, Foutse Khomh
2023	A*	`conf`	PILAR: Studying and Mitigating the Influence of Configurations on Log Parsing. ICSE Hetong Dai, Yiming Tang, Heng Li, Weiyi Shang
2023	J	`jnl`	Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detection. CoRR Xingfang Wu, Heng Li, Nobukazu Yoshioka, Hironori Washizaki, Foutse Khomh
2023	J	`jnl`	Studying Logging Practice in Machine Learning-based Applications. CoRR Patrick Loic Foalem, Foutse Khomh, Heng Li
2023	J	`jnl`	Studying the challenges of developing hardware description language programs. Inf. Softw. Technol. Fatemeh Yousefifeshki, Heng Li, Foutse Khomh
2023	J	`jnl`	Studying the characteristics of AIOps projects on GitHub. Empir. Softw. Eng. Roozbeh Aghili, Heng Li, Foutse Khomh
2023	J	`jnl`	Towards Learning Generalizable Code Embeddings Using Task-agnostic Graph Convolutional Networks. ACM Trans. Softw. Eng. Methodol. Zishuo Ding, Heng Li, Weiyi Shang, Tse-Hsun (Peter) Chen
2023	J	`jnl`	What Causes Exceptions in Machine Learning Applications? Mining Machine Learning-Related Stack Traces on Stack Overflow. CoRR Amin Ghadesi, Maxime Lamothe, Heng Li
2022	J	`jnl`	A Study of C/C++ Code Weaknesses on Stack Overflow. IEEE Trans. Software Eng. Haoxiang Zhang, Shaowei Wang, Heng Li, Tse-Hsun Chen, Ahmed E. Hassan
2022	J	`jnl`	An Empirical Study of the Impact of Hyperparameter Tuning and Model Optimization on the Performance Properties of Deep Neural Networks. ACM Trans. Softw. Eng. Methodol. Lizhi Liao, Heng Li, Weiyi Shang, Lei Ma
2022	A	`conf`	An Empirical Study on the Usage of Automated Machine Learning Tools. ICSME Forough Majidi, Moses Openja, Foutse Khomh, Heng Li
2022	J	`jnl`	An Empirical Study on the Usage of Automated Machine Learning Tools. CoRR Forough Majidi, Moses Openja, Foutse Khomh, Heng Li
2022	J	`jnl`	Assisting Example-Based API Misuse Detection via Complementary Artificial Examples. IEEE Trans. Software Eng. Maxime Lamothe, Heng Li, Weiyi Shang
2022	J	`jnl`	Bug Characteristics in Quantum Software Ecosystem. CoRR Mohamed Raed El aoun, Heng Li, Foutse Khomh, Lionel N. Tidjon
2022	J	`jnl`	Can pre-trained code embeddings improve model performance? Revisiting the use of code embeddings in software engineering tasks. Empir. Softw. Eng. Zishuo Ding, Heng Li, Weiyi Shang, Tse-Hsun Peter Chen
2022	A	`conf`	LoGenText: Automatically Generating Logging Texts Using Neural Machine Translation. SANER Zishuo Ding, Heng Li, Weiyi Shang
2022	J	`jnl`	Locating Performance Regression Root Causes in the Field Operations of Web-Based Systems: An Experience Report. IEEE Trans. Software Eng. Lizhi Liao, Jinfu Chen, Heng Li, Yi Zeng, Weiyi Shang, Catalin Sporea, Andrei Toma, Sarah Sajedi
2022	J	`jnl`	LogAssist: Assisting Log Analysis Through Log Summarization. IEEE Trans. Software Eng. Steven Locke, Heng Li, Tse-Hsun Peter Chen, Weiyi Shang, Wei Liu
2022	J	`jnl`	Logram: Efficient Log Parsing Using $n$n-Gram Dictionaries. IEEE Trans. Software Eng. Hetong Dai, Heng Li, Che-Shao Chen, Weiyi Shang, Tse-Hsun Chen
2022	A	`conf`	On the Importance of Performing App Analysis Within Peer Groups. SANER Safwat Hassan, Heng Li, Ahmed E. Hassan
2022	J	`jnl`	On the Importance of Performing App Analysis Within Peer Groups. CoRR Safwat Hassan, Heng Li, Ahmed E. Hassan
2022	J	`jnl`	Studying logging practice in test code. Empir. Softw. Eng. Haonan Zhang, Yiming Tang, Maxime Lamothe, Heng Li, Weiyi Shang
2022	J	`jnl`	Studying the Characteristics of AIOps Projects on GitHub. CoRR Roozbeh Aghili, Heng Li, Foutse Khomh
2022	A	`conf`	Studying the Practices of Deploying Machine Learning Projects on Docker. EASE Moses Openja, Forough Majidi, Foutse Khomh, Bhagya Chembakottu, Heng Li
2022	J	`jnl`	Studying the Practices of Deploying Machine Learning Projects on Docker. CoRR Moses Openja, Forough Majidi, Foutse Khomh, Bhagya Chembakottu, Heng Li
2022	J	`jnl`	Studying the Practices of Logging Exception Stack Traces in Open-Source Software Projects. IEEE Trans. Software Eng. Heng Li, Haoxiang Zhang, Shaowei Wang, Ahmed E. Hassan
2022	J	`jnl`	Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues. CoRR Mohamed Raed El aoun, Heng Li, Foutse Khomh, Moses Openja
2021	J	`jnl`	A Qualitative Study of the Benefits and Costs of Logging From Developers' Perspectives. IEEE Trans. Software Eng. Heng Li, Weiyi Shang, Bram Adams, Mohammed Sayagh, Ahmed E. Hassan
2021	J	`jnl`	An Empirical Study of the Impact of Data Splitting Decisions on the Performance of AIOps Solutions. ACM Trans. Softw. Eng. Methodol. Yingzhe Lyu, Heng Li, Mohammed Sayagh, Zhen Ming (Jack) Jiang, Ahmed E. Hassan
2021	A*	`conf`	DeepLV: Suggesting Log Levels Using Ordinal Based Neural Networks. ICSE Zhenhao Li, Heng Li, Tse-Hsun Peter Chen, Weiyi Shang
2021	A	`conf`	Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues. ICSME Mohamed Raed El aoun, Heng Li, Foutse Khomh, Moses Openja
2020	J	`jnl`	A study of the performance of general compressors on log files. Empir. Softw. Eng. Kundi Yao, Heng Li, Weiyi Shang, Ahmed E. Hassan
2020	J	`jnl`	Logram: Efficient Log Parsing Using n-Gram Dictionaries. CoRR Hetong Dai, Heng Li, Weiyi Shang, Tse-Hsun Chen, Che-Shao Chen
2020	J	`jnl`	Predicting Node Failures in an Ultra-Large-Scale Cloud Computing Platform: An AIOps Solution. ACM Trans. Softw. Eng. Methodol. Yangguang Li, Zhen Ming (Jack) Jiang, Heng Li, Ahmed E. Hassan, Cheng He, Ruirui Huang, Zhengda Zeng, Mian Wang, Pinan Chen
2020	J	`jnl`	Using black-box performance models to detect performance regressions under varying workloads: an empirical study. Empir. Softw. Eng. Lizhi Liao, Jinfu Chen, Heng Li, Yi Zeng, Weiyi Shang, Jianmei Guo, Catalin Sporea, Andrei Toma, Sarah Sajedi
2019	—	`conf`	Improving the testing efficiency of selenium-based load tests. AST@ICSE Shahnaz M. Shariff, Heng Li, Cor-Paul Bezemer, Ahmed E. Hassan, Thanh H. D. Nguyen, Parminder Flora
2018	—	`conf`	Adopting autonomic computing capabilities in existing large-scale systems: an industrial experience report. ICSE (SEIP) Heng Li, Tse-Hsun (Peter) Chen, Ahmed E. Hassan, Mohamed N. Nasser, Parminder Flora
2018	—	`—`	Mining development knowledge to understand and support software logging practices. Heng Li
2018	—	`conf`	Predicting the Receivers of Football Passes. MLSA@PKDD/ECML Heng Li, Zhiying Zhang
2018	J	`jnl`	Studying software logging using topic models. Empir. Softw. Eng. Heng Li, Tse-Hsun (Peter) Chen, Weiyi Shang, Ahmed E. Hassan
2018	A	`conf`	Towards just-in-time suggestions for log changes (journal-first abstract). SANER Heng Li, Weiyi Shang, Ying Zou, Ahmed E. Hassan
2018	A	`conf`	Which log level should developers choose for a new logging statement? (journal-first abstract). SANER Heng Li, Weiyi Shang, Ahmed E. Hassan
2017	J	`jnl`	Towards just-in-time suggestions for log changes. Empir. Softw. Eng. Heng Li, Weiyi Shang, Ying Zou, Ahmed E. Hassan
2017	J	`jnl`	Which log level should developers choose for a new logging statement? Empir. Softw. Eng. Heng Li, Weiyi Shang, Ahmed E. Hassan