Heng Li

According to our database, Heng Li authored at least 64 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Yingzhe Lyu, Heng Li, Zhen Ming (Jack) Jiang, Ahmed E. Hassan

ACM Trans. Softw. Eng. Methodol., September, 2024

What causes exceptions in machine learning applications? Mining machine learning-related stack traces on Stack Overflow.

Amin Ghadesi, Maxime Lamothe, Heng Li

Empir. Softw. Eng., September, 2024

Reducing the Length of Field-Replay Based Load Testing.

Yuanjie Xia, Lizhi Liao, Jinfu Chen, Heng Li, Weiyi Shang

IEEE Trans. Software Eng., August, 2024

Characterizing and classifying developer forum posts with their intentions.

Xingfang Wu, Eric Laufer, Heng Li, Foutse Khomh, Santhosh Srinivasan, Jayden Luo

Empir. Softw. Eng., July, 2024

A literature review and existing challenges on software logging practices.

Mohamed Amine Batoun, Mohammed Sayagh, Roozbeh Aghili, Ali Ouni, Heng Li

Empir. Softw. Eng., July, 2024

<i>LoGenText-Plus</i>: Improving Neural Machine Translation Based Logging Texts Generation with Syntactic Templates.

Zishuo Ding, Yiming Tang, Xiaoyu Cheng, Heng Li, Weiyi Shang

ACM Trans. Softw. Eng. Methodol., February, 2024

Studying logging practice in machine learning-based applications.

Patrick Loic Foalem, Foutse Khomh, Heng Li

Inf. Softw. Technol., 2024

Automated, Unsupervised, and Auto-parameterized Inference of Data Patterns and Anomaly Detection.

Qiaolin Qin, Heng Li, Ettore Merlo, Maxime Lamothe

CoRR, 2024

An Efficient Model Maintenance Approach for MLOps.

Forough Majidi, Foutse Khomh, Heng Li, Amin Nikanjam

CoRR, 2024

Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study.

Genevieve Caumartin, Qiaolin Qin, Sharon Chatragadda, Janmitsinh Panjrolia, Heng Li, Diego Elias Costa

CoRR, 2024

Tracing Optimization for Performance Modeling and Regression Detection.

Kaveh Shahedi, Heng Li, Maxime Lamothe, Foutse Khomh

CoRR, 2024

What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach.

Xingfang Wu, Heng Li, Foutse Khomh

CoRR, 2024

How do Practitioners Perceive Energy Consumption on Stack Overflow?

Bihui Jin, Heng Li, Ying Zou

CoRR, 2024

An Empirical Study of Sensitive Information in Logs.

Roozbeh Aghili, Heng Li, Foutse Khomh

CoRR, 2024

Early Detection of Performance Regressions by Bridging Local Performance Data and Architectural Models.

Lizhi Liao, Simon Eismann, Heng Li, Cor-Paul Bezemer, Diego Elias Costa, André van Hoorn, Weiyi Shang

CoRR, 2024

Impact of Extensions on Browser Performance: An Empirical Study on Google Chrome.

Bihui Jin, Heng Li, Ying Zou

CoRR, 2024

Detecting Refactoring Commits in Machine Learning Python Projects: A Machine Learning-Based Approach.

Shayan Noei, Heng Li, Ying Zou

CoRR, 2024

Workshop on Challenges in Performance Methods for Software Development (WOSP-C).

Luca Traini, Heng Li

Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detection.

Xingfang Wu, Heng Li, Nobukazu Yoshioka, Hironori Washizaki, Foutse Khomh

Proceedings of the IEEE International Conference on Software Analysis, 2024

Understanding Web Application Workloads and Their Applications: Systematic Literature Review and Characterization.

Roozbeh Aghili, Qiaolin Qin, Heng Li, Foutse Khomh

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024

2023

An Empirical Study of Refactoring Rhythms and Tactics in the Software Development Process.

Shayan Noei, Heng Li, Stefanos Georgiou, Ying Zou

IEEE Trans. Software Eng., December, 2023

A large-scale exploratory study of android sports apps in the google play store.

Bhagya Chembakottu, Heng Li, Foutse Khomh

Inf. Softw. Technol., December, 2023

On the effectiveness of log representation for log-based anomaly detection.

Xingfang Wu, Heng Li, Foutse Khomh

Empir. Softw. Eng., November, 2023

Studying the characteristics of AIOps projects on GitHub.

Roozbeh Aghili, Heng Li, Foutse Khomh

Empir. Softw. Eng., November, 2023

Studying the challenges of developing hardware description language programs.

Fatemeh Yousefifeshki, Heng Li, Foutse Khomh

Inf. Softw. Technol., July, 2023

Towards Learning Generalizable Code Embeddings Using Task-agnostic Graph Convolutional Networks.

Zishuo Ding, Heng Li, Weiyi Shang, Tse-Hsun (Peter) Chen

ACM Trans. Softw. Eng. Methodol., April, 2023

Assessing the Maturity of Model Maintenance Techniques for AIOps Solutions.

Yingzhe Lyu, Heng Li, Zhen Ming Jiang, Ahmed E. Hassan

CoRR, 2023

LTB'23 Workshop Chairs' Welcome.

Alexander Podelko, Heng Li, Changyuan Lin

Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Adapting Performance Analytic Techniques in a Real-World Database-Centric System: An Industrial Experience Report.

Lizhi Liao, Heng Li, Weiyi Shang, Catalin Sporea, Andrei Toma, Sarah Sajedi

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

IoPV: On Inconsistent Option Performance Variations.

Jinfu Chen, Zishuo Ding, Yiming Tang, Mohammed Sayagh, Heng Li, Bram Adams, Weiyi Shang

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges.

Ahmed Haj Yahmed, Altaf Allah Abbassi, Amin Nikanjam, Heng Li, Foutse Khomh

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

On the Temporal Relations between Logging and Code.

Zishuo Ding, Yiming Tang, Yang Li, Heng Li, Weiyi Shang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

PILAR: Studying and Mitigating the Influence of Configurations on Log Parsing.

Hetong Dai, Yiming Tang, Heng Li, Weiyi Shang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

A Study of C/C++ Code Weaknesses on Stack Overflow.

Haoxiang Zhang, Shaowei Wang, Heng Li, Tse-Hsun Chen, Ahmed E. Hassan

IEEE Trans. Software Eng., 2022

LogAssist: Assisting Log Analysis Through Log Summarization.

Steven Locke, Heng Li, Tse-Hsun Peter Chen, Weiyi Shang, Wei Liu

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, Heng Li, Yi Zeng, Weiyi Shang, Catalin Sporea, Andrei Toma, Sarah Sajedi

IEEE Trans. Software Eng., 2022

Studying the Practices of Logging Exception Stack Traces in Open-Source Software Projects.

Heng Li, Haoxiang Zhang, Shaowei Wang, Ahmed E. Hassan

IEEE Trans. Software Eng., 2022

Assisting Example-Based API Misuse Detection via Complementary Artificial Examples.

Maxime Lamothe, Heng Li, Weiyi Shang

IEEE Trans. Software Eng., 2022

Logram: Efficient Log Parsing Using $n$n-Gram Dictionaries.

Hetong Dai, Heng Li, Che-Shao Chen, Weiyi Shang, Tse-Hsun Chen

IEEE Trans. Software 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, Weiyi Shang, Lei Ma

ACM Trans. Softw. Eng. Methodol., 2022

Studying logging practice in test code.

Haonan Zhang, Yiming Tang, Maxime Lamothe, Heng Li, Weiyi Shang

Empir. Softw. Eng., 2022

Can pre-trained code embeddings improve model performance? Revisiting the use of code embeddings in software engineering tasks.

Zishuo Ding, Heng Li, Weiyi Shang, Tse-Hsun Peter Chen

Empir. Softw. Eng., 2022

Bug Characteristics in Quantum Software Ecosystem.

Mohamed Raed El aoun, Heng Li, Foutse Khomh, Lionel N. Tidjon

CoRR, 2022

On the Importance of Performing App Analysis Within Peer Groups.

Safwat Hassan, Heng Li, Ahmed E. Hassan

Proceedings of the IEEE International Conference on Software Analysis, 2022

LoGenText: Automatically Generating Logging Texts Using Neural Machine Translation.

Zishuo Ding, Heng Li, Weiyi Shang

Proceedings of the IEEE International Conference on Software Analysis, 2022

An Empirical Study on the Usage of Automated Machine Learning Tools.

Forough Majidi, Moses Openja, Foutse Khomh, Heng Li

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

Studying the Practices of Deploying Machine Learning Projects on Docker.

Moses Openja, Forough Majidi, Foutse Khomh, Bhagya Chembakottu, Heng Li

Proceedings of the EASE 2022: The International Conference on Evaluation and Assessment in Software Engineering 2022, Gothenburg, Sweden, June 13, 2022

2021

A Qualitative Study of the Benefits and Costs of Logging From Developers' Perspectives.

Heng Li, Weiyi Shang, Bram Adams, Mohammed Sayagh, Ahmed E. Hassan

IEEE Trans. Software Eng., 2021

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

Yingzhe Lyu, Heng Li, Mohammed Sayagh, Zhen Ming (Jack) Jiang, Ahmed E. Hassan

ACM Trans. Softw. Eng. Methodol., 2021

Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues.

Mohamed Raed El aoun, Heng Li, Foutse Khomh, Moses Openja

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

DeepLV: Suggesting Log Levels Using Ordinal Based Neural Networks.

Zhenhao Li, Heng Li, Tse-Hsun Peter Chen, Weiyi Shang

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

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, Cheng He, Ruirui Huang, Zhengda Zeng, Mian Wang, Pinan Chen

ACM Trans. Softw. Eng. Methodol., 2020

A study of the performance of general compressors on log files.

Kundi Yao, Heng Li, Weiyi Shang, Ahmed E. Hassan

Empir. Softw. Eng., 2020

Using black-box performance models to detect performance regressions under varying workloads: an empirical study.

Lizhi Liao, Jinfu Chen, Heng Li, Yi Zeng, Weiyi Shang, Jianmei Guo, Catalin Sporea, Andrei Toma, Sarah Sajedi

Empir. Softw. Eng., 2020

Logram: Efficient Log Parsing Using n-Gram Dictionaries.

Hetong Dai, Heng Li, Weiyi Shang, Tse-Hsun Chen, Che-Shao Chen

CoRR, 2020

2019

Improving the testing efficiency of selenium-based load tests.

Shahnaz M. Shariff, Heng Li, Cor-Paul Bezemer, Ahmed E. Hassan, Thanh H. D. Nguyen, Parminder Flora

Proceedings of the 14th International Workshop on Automation of Software Test, 2019

2018

Mining development knowledge to understand and support software logging practices.

Heng Li

PhD thesis, 2018

Studying software logging using topic models.

Heng Li, Tse-Hsun (Peter) Chen, Weiyi Shang, Ahmed E. Hassan

Empir. Softw. Eng., 2018

Towards just-in-time suggestions for log changes (journal-first abstract).

Heng Li, Weiyi Shang, Ying Zou, Ahmed E. Hassan

Proceedings of the 25th International Conference on Software Analysis, 2018

Which log level should developers choose for a new logging statement? (journal-first abstract).

Heng Li, Weiyi Shang, Ahmed E. Hassan

Proceedings of the 25th International Conference on Software Analysis, 2018

Predicting the Receivers of Football Passes.

Heng Li, Zhiying Zhang

Proceedings of the 5th Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2018), 2018

Adopting autonomic computing capabilities in existing large-scale systems: an industrial experience report.

Heng Li, Tse-Hsun (Peter) Chen, Ahmed E. Hassan, Mohamed N. Nasser, Parminder Flora

Proceedings of the 40th International Conference on Software Engineering: Software Engineering in Practice, 2018

2017

Towards just-in-time suggestions for log changes.

Heng Li, Weiyi Shang, Ying Zou, Ahmed E. Hassan

Empir. Softw. Eng., 2017

Which log level should developers choose for a new logging statement?

Heng Li, Weiyi Shang, Ahmed E. Hassan

Empir. Softw. Eng., 2017