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Tse-Hsun (Peter) Chen
Tse-Hsun Peter Chen – Tse-Hsun Chen
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- affiliation: Concordia University, Montreal, Canada
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2020 – today
- 2024
- [j33]Zeyang Ma
, Shouvick Mondal, Tse-Hsun (Peter) Chen
VulNet: Towards improving vulnerability management in the Maven ecosystem. Empir. Softw. Eng. 29(4): 83 (2024) - [j32]Shahla Shaan Ahmed, Shaowei Wang
Studying and recommending information highlighting in Stack Overflow answers. Inf. Softw. Technol. 172: 107478 (2024) - [j31]Md Nakhla Rafi
Towards Better Graph Neural Network-Based Fault Localization through Enhanced Code Representation. Proc. ACM Softw. Eng. 1(FSE): 1937-1959 (2024) - [c33]Lorena Barreto Simedo Pacheco
DVC in Open Source ML-development: The Action and the Reaction. CAIN 2024: 75-80 - [c32]Zeyang Ma
LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing. ICSE 2024: 99:1-99:13 - [c31]Dong Jae Kim
A First Look at the Inheritance-Induced Redundant Test Execution. ICSE 2024: 114:1-114:12 - [c30]Dong Jae Kim
Exploring the Impact of Inheritance on Test Code Maintainability. ICSE Companion 2024: 382-383 - [c29]Md Nakhla Rafi
Exploring Data Cleanness in Defects4J and Its Influence on Fault Localization Efficiency. ICSE Companion 2024: 386-387 - [c28]Dong Jae Kim
Decoding Anomalies! Unraveling Operational Challenges in Human-in-the-Loop Anomaly Validation. SIGSOFT FSE Companion 2024: 382-387 - [i20]Shahla Shaan Ahmed, Shaowei Wang, Yuan Tian, Tse-Hsun Chen
A First Look at Information Highlighting in Stack Overflow Answers. CoRR abs/2401.01472 (2024) - [i19]Azmain Kabir
ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using ChatGPT. CoRR abs/2401.14279 (2024) - [i18]Feng Lin, Dong Jae Kim, Tse-Hsun Chen:
When LLM-based Code Generation Meets the Software Development Process. CoRR abs/2403.15852 (2024) - [i17]Md Nakhla Rafi, Dong Jae Kim, An Ran Chen, Tse-Hsun Chen
Towards Better Graph Neural Network-based Fault Localization Through Enhanced Code Representation. CoRR abs/2404.04496 (2024) - [i16]Zeyang Ma, An Ran Chen, Dong Jae Kim, Tse-Hsun Chen
LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing. CoRR abs/2404.18001 (2024) - [i15]Lorena Barreto Simedo Pacheco, An Ran Chen, Jinqiu Yang, Tse-Hsun Chen
Leveraging Stack Traces for Spectrum-based Fault Localization in the Absence of Failing Tests. CoRR abs/2405.00565 (2024) - [i14]Wei Liu, Shouvick Mondal, Tse-Hsun Chen
An Empirical Study on the Characteristics of Database Access Bugs in Java Applications. CoRR abs/2405.15008 (2024) - [i13]Zehao Wang, Dong Jae Kim, Tse-Hsun Chen:
Identifying Performance-Sensitive Configurations in Software Systems through Code Analysis with LLM Agents. CoRR abs/2406.12806 (2024) - [i12]Zeyang Ma, Dong Jae Kim, Tse-Hsun Chen:
OpenLogParser: Unsupervised Parsing with Open-Source Large Language Models. CoRR abs/2408.01585 (2024) - [i11]Md Nakhla Rafi, Dong Jae Kim, Tse-Hsun Chen, Shaowei Wang:
Enhancing Fault Localization Through Ordered Code Analysis with LLM Agents and Self-Reflection. CoRR abs/2409.13642 (2024) - [i10]Yixi Wu, Pengfei He, Zehao Wang, Shaowei Wang, Yuan Tian, Tse-Hsun Chen:
A Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models. CoRR abs/2409.15228 (2024) - [i9]Yi Wen Heng, Zeyang Ma, Zhenhao Li, Dong Jae Kim, Tse-Hsun Chen:
Studying and Benchmarking Large Language Models For Log Level Suggestion. CoRR abs/2410.08499 (2024) - 2023
- [j30]Tianlei Wang, Shaowei Wang
Study the correlation between the readme file of GitHub projects and their popularity. J. Syst. Softw. 205: 111806 (2023) - [j29]Zishuo Ding
Towards Learning Generalizable Code Embeddings Using Task-agnostic Graph Convolutional Networks. ACM Trans. Softw. Eng. Methodol. 32(2): 48:1-48:43 (2023) - [j28]An Ran Chen
T-Evos: A Large-Scale Longitudinal Study on CI Test Execution and Failure. IEEE Trans. Software Eng. 49(4): 2352-2365 (2023) - [j27]Wei Liu
SLocator: Localizing the Origin of SQL Queries in Database-Backed Web Applications. IEEE Trans. Software Eng. 49(6): 3376-3390 (2023) - [c27]Dong Jae Kim, Steven Locke, Tse-Hsun Peter Chen
Challenges in Adopting Artificial Intelligence Based User Input Verification Framework in Reporting Software Systems. ICSE-SEIP 2023: 99-109 - [c26]Zhenhao Li
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction. ICSE 2023: 830-842 - [c25]Zhenhao Li, An Ran Chen, Xing Hu, Xin Xia, Tse-Hsun Chen
Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages. ASE 2023: 129-140 - [i8]Zhenhao Li, Chuan Luo, Tse-Hsun Chen
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction. CoRR abs/2304.11391 (2023) - [i7]Zhenhao Li, An Ran Chen, Xing Hu, Xin Xia, Tse-Hsun Chen
Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages. CoRR abs/2308.08836 (2023) - [i6]An Ran Chen, Md Nakhla Rafi, Tse-Hsun Chen
Back to the Future! Studying Data Cleanness in Defects4J and its Impact on Fault Localization. CoRR abs/2310.19139 (2023) - 2022
- [j26]Zishuo Ding
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) - [j25]Zehao Wang
An empirical study on the challenges that developers encounter when developing Apache Spark applications. J. Syst. Softw. 194: 111488 (2022) - [j24]Maxime Lamothe
A3: Assisting Android API Migrations Using Code Examples. IEEE Trans. Software Eng. 48(2): 417-431 (2022) - [j23]Hetong Dai
Logram: Efficient Log Parsing Using $n$n-Gram Dictionaries. IEEE Trans. Software Eng. 48(3): 879-892 (2022) - [j22]Zi Peng, Tse-Hsun Chen
Revisiting Test Impact Analysis in Continuous Testing From the Perspective of Code Dependencies. IEEE Trans. Software Eng. 48(6): 1979-1993 (2022) - [j21]Haoxiang Zhang
A Study of C/C++ Code Weaknesses on Stack Overflow. IEEE Trans. Software Eng. 48(7): 2359-2375 (2022) - [j20]Zhenhao Li
Studying Duplicate Logging Statements and Their Relationships With Code Clones. IEEE Trans. Software Eng. 48(7): 2476-2494 (2022) - [j19]An Ran Chen
Pathidea: Improving Information Retrieval-Based Bug Localization by Re-Constructing Execution Paths Using Logs. IEEE Trans. Software Eng. 48(8): 2905-2919 (2022) - [j18]Steven Locke
LogAssist: Assisting Log Analysis Through Log Summarization. IEEE Trans. Software Eng. 48(9): 3227-3241 (2022) - [c24]Tarek Makkouk, Dong Jae Kim, Tse-Hsun Peter Chen
An Empirical Study on Performance Bugs in Deep Learning Frameworks. ICSME 2022: 35-46 - [c23]Shahla Shaan Ahmed, Shaowei Wang, Haoxiang Zhang, Tse-Hsun Chen
A First Look at Information Highlighting in Stack Overflow Answers. ICSME 2022: 369-373 - [c22]An Ran Chen
How Useful is Code Change Information for Fault Localization in Continuous Integration? ASE 2022: 52:1-52:12 - 2021
- [j17]An Ran Chen
Demystifying the challenges and benefits of analyzing user-reported logs in bug reports. Empir. Softw. Eng. 26(1): 8 (2021) - [j16]Jiayuan Zhou, Shaowei Wang
Studying backers and hunters in bounty issue addressing process of open source projects. Empir. Softw. Eng. 26(4): 81 (2021) - [j15]Arthur Vitui
MLASP: Machine learning assisted capacity planning. Empir. Softw. Eng. 26(5): 87 (2021) - [j14]Dong Jae Kim
The secret life of test smells - an empirical study on test smell evolution and maintenance. Empir. Softw. Eng. 26(5): 100 (2021) - [j13]Arthur Vitui
Correction to: MLASP: Machine learning assisted capacity planning. An industrial experience report. Empir. Softw. Eng. 26(5): 109 (2021) - [j12]Haoxiang Zhang, Shaowei Wang, Tse-Hsun (Peter) Chen
Are Comments on Stack Overflow Well Organized for Easy Retrieval by Developers? ACM Trans. Softw. Eng. Methodol. 30(2): 22:1-22:31 (2021) - [j11]Haoxiang Zhang
An Empirical Study of Obsolete Answers on Stack Overflow. IEEE Trans. Software Eng. 47(4): 850-862 (2021) - [j10]Haoxiang Zhang
Reading Answers on Stack Overflow: Not Enough! IEEE Trans. Software Eng. 47(11): 2520-2533 (2021) - [c21]Dong Jae Kim, Nikolaos Tsantalis
Studying Test Annotation Maintenance in the Wild. ICSE 2021: 62-73 - [c20]Zhenhao Li, Heng Li, Tse-Hsun Peter Chen
DeepLV: Suggesting Log Levels Using Ordinal Based Neural Networks. ICSE 2021: 1461-1472 - [c19]Shaowei Wang, Daniel M. Germán, Tse-Hsun Chen
Is reputation on Stack Overflow always a good indicator for users' expertise? No! ICSME 2021: 614-618 - [c18]Zehao Wang, Haoxiang Zhang, Tse-Hsun (Peter) Chen
Would you like a quick peek? providing logging support to monitor data processing in big data applications. ESEC/SIGSOFT FSE 2021: 516-526 - [c17]Dong Jae Kim, Bo Yang
How disabled tests manifest in test maintainability challenges? ESEC/SIGSOFT FSE 2021: 1045-1055 - [c16]Alexander Podelko, Tse-Hsun (Peter) Chen
The Ninth International Workshop on Load Testing and Benchmarking of Software Systems (LTB 2021). ICPE 2021: 277-278 - [i5]Zhenhao Li, Tse-Hsun Chen, Jinqiu Yang, Weiyi Shang:
Studying Duplicate Logging Statements and Their Relationships with Code Clones. CoRR abs/2106.00339 (2021) - 2020
- [j9]Shaowei Wang
How Do Users Revise Answers on Technical Q&A Websites? A Case Study on Stack Overflow. IEEE Trans. Software Eng. 46(9): 1024-1038 (2020) - [c15]Zhenhao Li, Tse-Hsun Chen
Where Shall We Log? Studying and Suggesting Logging Locations in Code Blocks. ASE 2020: 361-372 - [c14]Zi Peng, Jinqiu Yang, Tse-Hsun (Peter) Chen
A first look at the integration of machine learning models in complex autonomous driving systems: a case study on Apollo. ESEC/SIGSOFT FSE 2020: 1240-1250 - [c13]Alexander Podelko
The Eighth International Workshop on Load Testing and Benchmarking of Software Systems (LTB 2020). ICPE 2020: 305-306 - [i4]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)
2010 – 2019
- 2019
- [j8]Yi Zeng
Studying the characteristics of logging practices in mobile apps: a case study on F-Droid. Empir. Softw. Eng. 24(6): 3394-3434 (2019) - [j7]Sara Seif Afjehei, Tse-Hsun (Peter) Chen
iPerfDetector: Characterizing and detecting performance anti-patterns in iOS applications. Empir. Softw. Eng. 24(6): 3484-3513 (2019) - [c12]Zhenhao Li, Tse-Hsun (Peter) Chen
Dlfinder: characterizing and detecting duplicate logging code smells. ICSE 2019: 152-163 - [i3]Haoxiang Zhang, Shaowei Wang, Tse-Hsun Chen, Ying Zou, Ahmed E. Hassan:
An Empirical Study of Obsolete Answers on Stack Overflow. CoRR abs/1903.12282 (2019) - [i2]Haoxiang Zhang, Shaowei Wang, Tse-Hsun Peter Chen, Ahmed E. Hassan:
Does the hiding mechanism for Stack Overflow comments work well? No! CoRR abs/1904.00946 (2019) - 2018
- [j6]Shaowei Wang
Understanding the factors for fast answers in technical Q&A websites - An empirical study of four stack exchange websites. Empir. Softw. Eng. 23(3): 1552-1593 (2018) - [j5]Heng Li, Tse-Hsun (Peter) Chen
Studying software logging using topic models. Empir. Softw. Eng. 23(5): 2655-2694 (2018) - [c11]Heng Li, Tse-Hsun (Peter) Chen
Adopting autonomic computing capabilities in existing large-scale systems: an industrial experience report. ICSE (SEIP) 2018: 1-10 - [c10]Shaowei Wang, Tse-Hsun Chen, Ahmed E. Hassan:
Understanding the factors for fast answers in technical Q&A websites: an empirical study of four stack exchange websites. ICSE 2018: 884 - [i1]Maxime Lamothe, Weiyi Shang, Tse-Hsun Chen:
A4: Automatically Assisting Android API Migrations Using Code Examples. CoRR abs/1812.04894 (2018) - 2017
- [j4]Tse-Hsun Chen
Topic-based software defect explanation. J. Syst. Softw. 129: 79-106 (2017) - [j3]Tse-Hsun Chen
An Empirical Study on the Effect of Testing on Code Quality Using Topic Models: A Case Study on Software Development Systems. IEEE Trans. Reliab. 66(3): 806-824 (2017) - [c9]Tse-Hsun Chen
Analytics-Driven Load Testing: An Industrial Experience Report on Load Testing of Large-Scale Systems. ICSE-SEIP 2017: 243-252 - 2016
- [b1]Tse-Hsun Chen:
Improving the Performance of Database-Centric Applications Through Program Analysis. Queen's University at Kingston, Ontario, Canada, 2016 - [j2]Tse-Hsun Chen
A survey on the use of topic models when mining software repositories. Empir. Softw. Eng. 21(5): 1843-1919 (2016) - [j1]Tse-Hsun Chen
Finding and Evaluating the Performance Impact of Redundant Data Access for Applications that are Developed Using Object-Relational Mapping Frameworks. IEEE Trans. Software Eng. 42(12): 1148-1161 (2016) - [c8]Tse-Hsun Chen
Detecting problems in the database access code of large scale systems: an industrial experience report. ICSE (Companion Volume) 2016: 71-80 - [c7]Tarek M. Ahmed, Cor-Paul Bezemer
Studying the effectiveness of application performance management (APM) tools for detecting performance regressions for web applications: an experience report. MSR 2016: 1-12 - [c6]Tse-Hsun Chen
An empirical study on the practice of maintaining object-relational mapping code in Java systems. MSR 2016: 165-176 - [c5]Tse-Hsun Chen
CacheOptimizer: helping developers configure caching frameworks for hibernate-based database-centric web applications. SIGSOFT FSE 2016: 666-677 - 2015
- [c4]Tse-Hsun Chen
Improving the quality of large-scale database-centric software systems by analyzing database access code. ICDE Workshops 2015: 245-249 - 2014
- [c3]Tse-Hsun Chen
Detecting performance anti-patterns for applications developed using object-relational mapping. ICSE 2014: 1001-1012 - [c2]Tse-Hsun Chen
An empirical study of dormant bugs. MSR 2014: 82-91 - 2012
- [c1]Tse-Hsun Chen
Explaining software defects using topic models. MSR 2012: 189-198
Coauthor Index
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