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ORCIDHeng Li 0007
Person information
- affiliation: Polytechnique Montreal, Department of Computer and Software Engineering, Montreal, Quebec, Canada
- affiliation (former): Queen's University, School of Computing, Software Analysis and Intelligence Lab, SAIL, Kingston, ON, Canada
Other persons with the same name
- Heng Li — disambiguation page
- Heng Li 0001
![[0000-0002-3187-9041]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3187-9041")
— Hong Kong Polytechnic University, Department of Building and Real Estate, Hong Kong - Heng Li 0002 — Broad Institute of Harvard and MIT, Medical Population Genetics Program, Cambridge, MA, USA (and 2 more)
- Heng Li 0003 — The University of Texas M. D. Anderson Cancer Center, Department of Radiation Physics, Houston, TX, USA
- Heng Li 0004 — Beijing Institute of Technology, School of Optoelectronics, China
- Heng Li 0005 — Central South University, School of Information Science and Engineering, Changsha, China (and 1 more)
- Heng Li 0006 — Shanghai Jiao Tong University, School of Biomedical Engineering, China
- Heng Li 0008 — Huazhong University of Science and Technology, Wuhan, China
- Heng Li 0009 — Simon Fraser University, Burnaby, BC, Canada
- Heng Li 0010 — Southern University of Science and Technology, Department of Computer Science and Engineering, Research Institute of Trustworthy Autonomous Systems, China
- Heng Li 0011 — China University of Geosciences in Beijing, School of Information Engineering, China
- Heng Li 0012 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
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Books and Theses
- 2018
[b1]Heng Li:
Mining development knowledge to understand and support software logging practices. Queen's University at Kingston, Ontario, Canada, 2018
Journal Articles
- 2024
- [j25]Patrick Loic Foalem, Foutse Khomh, Heng Li:
Studying logging practice in machine learning-based applications. Inf. Softw. Technol. 170: 107450 (2024) - [j24]Zishuo Ding, Yiming Tang, Xiaoyu Cheng, Heng Li, Weiyi Shang:
LoGenText-Plus: Improving Neural Machine Translation Based Logging Texts Generation with Syntactic Templates. ACM Trans. Softw. Eng. Methodol. 33(2): 38:1-38:45 (2024) - 2023
- [j23]Xingfang Wu, Heng Li, Foutse Khomh:
On the effectiveness of log representation for log-based anomaly detection. Empir. Softw. Eng. 28(6): 137 (2023) - [j22]Roozbeh Aghili, Heng Li, Foutse Khomh:
Studying the characteristics of AIOps projects on GitHub. Empir. Softw. Eng. 28(6): 143 (2023) - [j21]Fatemeh Yousefifeshki, Heng Li, Foutse Khomh:
Studying the challenges of developing hardware description language programs. Inf. Softw. Technol. 159: 107196 (2023) - [j20]Bhagya Chembakottu, Heng Li, Foutse Khomh:
A large-scale exploratory study of android sports apps in the google play store. Inf. Softw. Technol. 164: 107321 (2023) - [j19]Zishuo Ding, Heng Li, Weiyi Shang, Tse-Hsun (Peter) Chen:
Towards Learning Generalizable Code Embeddings Using Task-agnostic Graph Convolutional Networks. ACM Trans. Softw. Eng. Methodol. 32(2): 48:1-48:43 (2023) - [j18]Shayan Noei, Heng Li, Stefanos Georgiou, Ying Zou:
An Empirical Study of Refactoring Rhythms and Tactics in the Software Development Process. IEEE Trans. Software Eng. 49(12): 5103-5119 (2023) - 2022
- [j17]Zishuo Ding, Heng Li, Weiyi Shang, Tse-Hsun Peter Chen:
Can pre-trained code embeddings improve model performance? Revisiting the use of code embeddings in software engineering tasks. Empir. Softw. Eng. 27(3): 63 (2022) - [j16]Haonan Zhang, Yiming Tang, Maxime Lamothe, Heng Li, Weiyi Shang:
Studying logging practice in test code. Empir. Softw. Eng. 27(4): 83 (2022) - [j15]Lizhi Liao, Heng Li, Weiyi Shang, Lei Ma:
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. 31(3): 53:1-53:40 (2022) - [j14]Hetong Dai, Heng Li, Che-Shao Chen, Weiyi Shang, Tse-Hsun Chen:
Logram: Efficient Log Parsing Using $n$n-Gram Dictionaries. IEEE Trans. Software Eng. 48(3): 879-892 (2022) - [j13]Haoxiang Zhang, Shaowei Wang, Heng Li, Tse-Hsun Chen, Ahmed E. Hassan:
A Study of C/C++ Code Weaknesses on Stack Overflow. IEEE Trans. Software Eng. 48(7): 2359-2375 (2022) - [j12]Steven Locke, Heng Li, Tse-Hsun Peter Chen, Weiyi Shang, Wei Liu:
LogAssist: Assisting Log Analysis Through Log Summarization. IEEE Trans. Software Eng. 48(9): 3227-3241 (2022) - [j11]Maxime Lamothe, Heng Li, Weiyi Shang:
Assisting Example-Based API Misuse Detection via Complementary Artificial Examples. IEEE Trans. Software Eng. 48(9): 3410-3422 (2022) - [j10]Heng Li, Haoxiang Zhang, Shaowei Wang, Ahmed E. Hassan:
Studying the Practices of Logging Exception Stack Traces in Open-Source Software Projects. IEEE Trans. Software Eng. 48(12): 4907-4924 (2022) - [j9]Lizhi Liao, Jinfu Chen, Heng Li, Yi Zeng, Weiyi Shang, Catalin Sporea, Andrei Toma, Sarah Sajedi:
Locating Performance Regression Root Causes in the Field Operations of Web-Based Systems: An Experience Report. IEEE Trans. Software Eng. 48(12): 4986-5006 (2022) - 2021
- [j8]Yingzhe Lyu, Heng Li, Mohammed Sayagh, Zhen Ming (Jack) Jiang, Ahmed E. Hassan:
An Empirical Study of the Impact of Data Splitting Decisions on the Performance of AIOps Solutions. ACM Trans. Softw. Eng. Methodol. 30(4): 54:1-54:38 (2021) - [j7]Heng Li, Weiyi Shang, Bram Adams, Mohammed Sayagh, Ahmed E. Hassan:
A Qualitative Study of the Benefits and Costs of Logging From Developers' Perspectives. IEEE Trans. Software Eng. 47(12): 2858-2873 (2021) - 2020
- [j6]Kundi Yao, Heng Li, Weiyi Shang, Ahmed E. Hassan:
A study of the performance of general compressors on log files. Empir. Softw. Eng. 25(5): 3043-3085 (2020) - [j5]Lizhi Liao, Jinfu Chen, Heng Li, Yi Zeng, Weiyi Shang, Jianmei Guo, Catalin Sporea, Andrei Toma, Sarah Sajedi:
Using black-box performance models to detect performance regressions under varying workloads: an empirical study. Empir. Softw. Eng. 25(5): 4130-4160 (2020) - [j4]Yangguang Li, Zhen Ming (Jack) Jiang, Heng Li, Ahmed E. Hassan, Cheng He, Ruirui Huang, Zhengda Zeng, Mian Wang, Pinan Chen:
Predicting Node Failures in an Ultra-Large-Scale Cloud Computing Platform: An AIOps Solution. ACM Trans. Softw. Eng. Methodol. 29(2): 13:1-13:24 (2020) - 2018
- [j3]Heng Li, Tse-Hsun (Peter) Chen, Weiyi Shang, Ahmed E. Hassan:
Studying software logging using topic models. Empir. Softw. Eng. 23(5): 2655-2694 (2018) - 2017
- [j2]Heng Li, Weiyi Shang, Ahmed E. Hassan:
Which log level should developers choose for a new logging statement? Empir. Softw. Eng. 22(4): 1684-1716 (2017) - [j1]Heng Li, Weiyi Shang, Ying Zou, Ahmed E. Hassan:
Towards just-in-time suggestions for log changes. Empir. Softw. Eng. 22(4): 1831-1865 (2017)
Conference and Workshop Papers
- 2024
- [c18]Luca Traini, Heng Li:
Workshop on Challenges in Performance Methods for Software Development (WOSP-C). ICPE (Companion) 2024: 257 - 2023
- [c17]Hetong Dai, Yiming Tang, Heng Li, Weiyi Shang:
PILAR: Studying and Mitigating the Influence of Configurations on Log Parsing. ICSE 2023: 818-829 - [c16]Zishuo Ding, Yiming Tang, Yang Li, Heng Li, Weiyi Shang:
On the Temporal Relations between Logging and Code. ICSE 2023: 843-854 - [c15]Ahmed Haj Yahmed, Altaf Allah Abbassi, Amin Nikanjam, Heng Li, Foutse Khomh:
Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges. ICSME 2023: 26-38 - [c14]Jinfu Chen, Zishuo Ding, Yiming Tang, Mohammed Sayagh, Heng Li, Bram Adams, Weiyi Shang:
IoPV: On Inconsistent Option Performance Variations. ESEC/SIGSOFT FSE 2023: 845-857 - [c13]Lizhi Liao, Heng Li, Weiyi Shang, Catalin Sporea, Andrei Toma, Sarah Sajedi:
Adapting Performance Analytic Techniques in a Real-World Database-Centric System: An Industrial Experience Report. ESEC/SIGSOFT FSE 2023: 1855-1866 - [c12]Alexander Podelko, Heng Li, Changyuan Lin:
LTB'23 Workshop Chairs' Welcome. ICPE (Companion) 2023: 305 - 2022
- [c11]Moses Openja, Forough Majidi, Foutse Khomh, Bhagya Chembakottu, Heng Li:
Studying the Practices of Deploying Machine Learning Projects on Docker. EASE 2022: 190-200 - [c10]Forough Majidi, Moses Openja, Foutse Khomh, Heng Li:
An Empirical Study on the Usage of Automated Machine Learning Tools. ICSME 2022: 59-70 - [c9]Zishuo Ding, Heng Li, Weiyi Shang:
LoGenText: Automatically Generating Logging Texts Using Neural Machine Translation. SANER 2022: 349-360 - [c8]Safwat Hassan, Heng Li, Ahmed E. Hassan:
On the Importance of Performing App Analysis Within Peer Groups. SANER 2022: 890-901 - 2021
- [c7]Zhenhao Li, Heng Li, Tse-Hsun Peter Chen, Weiyi Shang:
DeepLV: Suggesting Log Levels Using Ordinal Based Neural Networks. ICSE 2021: 1461-1472 - [c6]Mohamed Raed El aoun, Heng Li, Foutse Khomh, Moses Openja:
Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues. ICSME 2021: 343-354 - 2019
- [c5]Shahnaz M. Shariff, Heng Li, Cor-Paul Bezemer, Ahmed E. Hassan, Thanh H. D. Nguyen, Parminder Flora:
Improving the testing efficiency of selenium-based load tests. AST@ICSE 2019: 14-20 - 2018
- [c4]Heng Li, Tse-Hsun (Peter) Chen, Ahmed E. Hassan, Mohamed N. Nasser, Parminder Flora:
Adopting autonomic computing capabilities in existing large-scale systems: an industrial experience report. ICSE (SEIP) 2018: 1-10 - [c3]Heng Li, Zhiying Zhang:
Predicting the Receivers of Football Passes. MLSA@PKDD/ECML 2018: 167-177 - [c2]Heng Li, Weiyi Shang, Ying Zou, Ahmed E. Hassan:
Towards just-in-time suggestions for log changes (journal-first abstract). SANER 2018: 467 - [c1]Heng Li, Weiyi Shang, Ahmed E. Hassan:
Which log level should developers choose for a new logging statement? (journal-first abstract). SANER 2018: 468
Informal and Other Publications
- 2024
- [i17]Shayan Noei, Heng Li, Ying Zou:
Detecting Refactoring Commits in Machine Learning Python Projects: A Machine Learning-Based Approach. CoRR abs/2404.06572 (2024) - [i16]Bihui Jin, Heng Li, Ying Zou:
Impact of Extensions on Browser Performance: An Empirical Study on Google Chrome. CoRR abs/2404.06827 (2024) - 2023
- [i15]Patrick Loic Foalem, Foutse Khomh, Heng Li:
Studying Logging Practice in Machine Learning-based Applications. CoRR abs/2301.04234 (2023) - [i14]Amin Ghadesi, Maxime Lamothe, Heng Li:
What Causes Exceptions in Machine Learning Applications? Mining Machine Learning-Related Stack Traces on Stack Overflow. CoRR abs/2304.12857 (2023) - [i13]Xingfang Wu, Heng Li, Foutse Khomh:
On the Effectiveness of Log Representation for Log-based Anomaly Detection. CoRR abs/2308.08736 (2023) - [i12]Ahmed Haj Yahmed, Altaf Allah Abbassi, Amin Nikanjam, Heng Li, Foutse Khomh:
Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges. CoRR abs/2308.12438 (2023) - [i11]Bhagya Chembakottu, Heng Li, Foutse Khomh:
A Large-Scale Exploratory Study of Android Sports Apps in the Google Play Store. CoRR abs/2310.07921 (2023) - [i10]Yingzhe Lyu, Heng Li, Zhen Ming Jiang, Ahmed E. Hassan:
Assessing the Maturity of Model Maintenance Techniques for AIOps Solutions. CoRR abs/2311.03213 (2023) - [i9]Xingfang Wu, Eric Laufer, Heng Li, Foutse Khomh, Santhosh Srinivasan, Jayden Luo:
Characterizing and Classifying Developer Forum Posts with their Intentions. CoRR abs/2312.14279 (2023) - [i8]Xingfang Wu, Heng Li, Nobukazu Yoshioka, Hironori Washizaki, Foutse Khomh:
Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detection. CoRR abs/2312.15068 (2023) - 2022
- [i7]Safwat Hassan, Heng Li, Ahmed E. Hassan:
On the Importance of Performing App Analysis Within Peer Groups. CoRR abs/2204.03794 (2022) - [i6]Mohamed Raed El aoun, Heng Li, Foutse Khomh, Lionel N. Tidjon:
Bug Characteristics in Quantum Software Ecosystem. CoRR abs/2204.11965 (2022) - [i5]Mohamed Raed El aoun, Heng Li, Foutse Khomh, Moses Openja:
Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues. CoRR abs/2205.03181 (2022) - [i4]Moses Openja, Forough Majidi, Foutse Khomh, Bhagya Chembakottu, Heng Li:
Studying the Practices of Deploying Machine Learning Projects on Docker. CoRR abs/2206.00699 (2022) - [i3]Forough Majidi, Moses Openja, Foutse Khomh, Heng Li:
An Empirical Study on the Usage of Automated Machine Learning Tools. CoRR abs/2208.13116 (2022) - [i2]Roozbeh Aghili, Heng Li, Foutse Khomh:
Studying the Characteristics of AIOps Projects on GitHub. CoRR abs/2212.13245 (2022) - 2020
- [i1]Hetong Dai, Heng Li, Weiyi Shang, Tse-Hsun Chen, Che-Shao Chen:
Logram: Efficient Log Parsing Using n-Gram Dictionaries. CoRR abs/2001.03038 (2020)
Coauthor Index
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