Explaining software defects using topic models. - Tse-Hsun Chen; Stephen W. Thomas; Meiyappan Nagappan; Ahmed E. Hassan (MSR, 2012)

Detecting performance anti-patterns for applications developed using object-relational mapping. - Tse-Hsun Chen; Weiyi Shang; Zhen Ming Jiang; Ahmed E. Hassan; Mohamed N. Nasser; Parminder Flora (ICSE, 2014)

An empirical study of dormant bugs. - Tse-Hsun Chen; Meiyappan Nagappan; Emad Shihab; Ahmed E. Hassan (MSR, 2014)

Improving the quality of large-scale database-centric software systems by analyzing database access code. - Tse-Hsun Chen (ICDE Workshops, 2015)

Detecting problems in the database access code of large scale systems: an industrial experience report. - Tse-Hsun Chen; Weiyi Shang; Ahmed E. Hassan; Mohamed N. Nasser; Parminder Flora (ICSE (Companion Volume), 2016)

Studying the effectiveness of application performance management (APM) tools for detecting performance regressions for web applications: an experience report. - Tarek M. Ahmed; Cor-Paul Bezemer; Tse-Hsun Chen; Ahmed E. Hassan; Weiyi Shang (MSR, 2016)

An empirical study on the practice of maintaining object-relational mapping code in Java systems. - Tse-Hsun Chen; Weiyi Shang; Jinqiu Yang 001; Ahmed E. Hassan; Michael W. Godfrey; Mohamed N. Nasser; Parminder Flora (MSR, 2016)

CacheOptimizer: helping developers configure caching frameworks for hibernate-based database-centric web applications. - Tse-Hsun Chen; Weiyi Shang; Ahmed E. Hassan; Mohamed N. Nasser; Parminder Flora (SIGSOFT FSE, 2016)

A survey on the use of topic models when mining software repositories. - Tse-Hsun Chen; Stephen W. Thomas; Ahmed E. Hassan (Empir. Softw. Eng., 2016)

Finding and Evaluating the Performance Impact of Redundant Data Access for Applications that are Developed Using Object-Relational Mapping Frameworks. - Tse-Hsun Chen; Weiyi Shang; Zhen Ming Jiang; Ahmed E. Hassan; Mohamed N. Nasser; Parminder Flora (IEEE Trans. Software Eng., 2016)

Improving the Performance of Database-Centric Applications Through Program Analysis. - Tse-Hsun Chen (2016)

Analytics-Driven Load Testing: An Industrial Experience Report on Load Testing of Large-Scale Systems. - Tse-Hsun Chen; Mark D. Syer; Weiyi Shang; Zhen Ming Jiang; Ahmed E. Hassan; Mohamed N. Nasser; Parminder Flora (ICSE-SEIP, 2017)

Topic-based software defect explanation. - Tse-Hsun Chen; Weiyi Shang; Meiyappan Nagappan; Ahmed E. Hassan; Stephen W. Thomas (J. Syst. Softw., 2017)

An Empirical Study on the Effect of Testing on Code Quality Using Topic Models: A Case Study on Software Development Systems. - Tse-Hsun Chen; Stephen W. Thomas; Hadi Hemmati; Meiyappan Nagappan; Ahmed E. Hassan (IEEE Trans. Reliab., 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)

A4: Automatically Assisting Android API Migrations Using Code Examples. - Maxime Lamothe; Weiyi Shang; Tse-Hsun Chen (CoRR, 2018)

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

Understanding the factors for fast answers in technical Q&A websites - An empirical study of four stack exchange websites. - Shaowei Wang 002; Tse-Hsun Chen; Ahmed E. Hassan (Empir. Softw. Eng., 2018)

Dlfinder: characterizing and detecting duplicate logging code smells. - Zhenhao Li 002; Tse-Hsun (Peter) Chen; Jinqiu Yang 001; Weiyi Shang (ICSE, 2019)

Does the hiding mechanism for Stack Overflow comments work well? No! - Haoxiang Zhang 001; Shaowei Wang 002; Tse-Hsun Peter Chen; Ahmed E. Hassan (CoRR, 2019)

iPerfDetector: Characterizing and detecting performance anti-patterns in iOS applications. - Sara Seif Afjehei; Tse-Hsun (Peter) Chen; Nikolaos Tsantalis (Empir. Softw. Eng., 2019)

Studying the characteristics of logging practices in mobile apps: a case study on F-Droid. - Yi Zeng; Jinfu Chen 002; Weiyi Shang; Tse-Hsun (Peter) Chen (Empir. Softw. Eng., 2019)

Where Shall We Log? Studying and Suggesting Logging Locations in Code Blocks. - Zhenhao Li 002; Tse-Hsun Chen; Weiyi Shang (ASE, 2020)

A first look at the integration of machine learning models in complex autonomous driving systems: a case study on Apollo. - Zi Peng; Jinqiu Yang 001; Tse-Hsun (Peter) Chen; Lei Ma 003 (ESEC/SIGSOFT FSE, 2020)

The Eighth International Workshop on Load Testing and Benchmarking of Software Systems (LTB 2020). - Alexander Podelko; Tse-Hsun (Peter) Chen; Hamzeh Khazaei (ICPE, 2020)

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

How Do Users Revise Answers on Technical Q&A Websites? A Case Study on Stack Overflow. - Shaowei Wang 002; Tse-Hsun Chen; Ahmed E. Hassan (IEEE Trans. Software Eng., 2020)

Studying Test Annotation Maintenance in the Wild. - Dong Jae Kim; Nikolaos Tsantalis; Tse-Hsun Peter Chen; Jinqiu Yang 001 (ICSE, 2021)

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

Is reputation on Stack Overflow always a good indicator for users' expertise? No! - Shaowei Wang 002; Daniel M. Germán; Tse-Hsun Chen; Yuan Tian 008; Ahmed E. Hassan (ICSME, 2021)

How disabled tests manifest in test maintainability challenges? - Dong Jae Kim; Bo Yang; Jinqiu Yang 001; Tse-Hsun (Peter) Chen (ESEC/SIGSOFT FSE, 2021)

Would you like a quick peek? providing logging support to monitor data processing in big data applications. - Zehao Wang; Haoxiang Zhang 001; Tse-Hsun (Peter) Chen; Shaowei Wang 002 (ESEC/SIGSOFT FSE, 2021)

The Ninth International Workshop on Load Testing and Benchmarking of Software Systems (LTB 2021). - Alexander Podelko; Tse-Hsun (Peter) Chen; Hamzeh Khazaei (ICPE, 2021)

Demystifying the challenges and benefits of analyzing user-reported logs in bug reports. - An Ran Chen; Tse-Hsun (Peter) Chen; Shaowei Wang 002 (Empir. Softw. Eng., 2021)

The secret life of test smells - an empirical study on test smell evolution and maintenance. - Dong Jae Kim; Tse-Hsun (Peter) Chen; Jinqiu Yang 001 (Empir. Softw. Eng., 2021)

MLASP: Machine learning assisted capacity planning. - Arthur Vitui; Tse-Hsun (Peter) Chen (Empir. Softw. Eng., 2021)

Correction to: MLASP: Machine learning assisted capacity planning. An industrial experience report. - Arthur Vitui; Tse-Hsun (Peter) Chen (Empir. Softw. Eng., 2021)

Studying backers and hunters in bounty issue addressing process of open source projects. - Jiayuan Zhou; Shaowei Wang 002; Haoxiang Zhang 001; Tse-Hsun (Peter) Chen; Ahmed E. Hassan (Empir. Softw. Eng., 2021)

Are Comments on Stack Overflow Well Organized for Easy Retrieval by Developers? - Haoxiang Zhang 001; Shaowei Wang 002; Tse-Hsun (Peter) Chen; Ahmed E. Hassan (ACM Trans. Softw. Eng. Methodol., 2021)

Reading Answers on Stack Overflow: Not Enough! - Haoxiang Zhang 001; Shaowei Wang 002; Tse-Hsun Chen; Ahmed E. Hassan (IEEE Trans. Software Eng., 2021)

An Empirical Study of Obsolete Answers on Stack Overflow. - Haoxiang Zhang 001; Shaowei Wang 002; Tse-Hsun Chen; Ying Zou 001; Ahmed E. Hassan (IEEE Trans. Software Eng., 2021)

A First Look at Information Highlighting in Stack Overflow Answers. - Shahla Shaan Ahmed; Shaowei Wang 002; Haoxiang Zhang 001; Tse-Hsun Chen; Yuan Tian 008 (ICSME, 2022)

An Empirical Study on Performance Bugs in Deep Learning Frameworks. - Tarek Makkouk; Dong Jae Kim; Tse-Hsun Peter Chen (ICSME, 2022)

How Useful is Code Change Information for Fault Localization in Continuous Integration? - An Ran Chen; Tse-Hsun (Peter) Chen; Junjie Chen 003 (ASE, 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)

An empirical study on the challenges that developers encounter when developing Apache Spark applications. - Zehao Wang; Tse-Hsun (Peter) Chen; Haoxiang Zhang 001; Shaowei Wang 002 (J. Syst. Softw., 2022)

Pathidea: Improving Information Retrieval-Based Bug Localization by Re-Constructing Execution Paths Using Logs. - An Ran Chen; Tse-Hsun Chen; Shaowei Wang 002 (IEEE Trans. Software Eng., 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)

A3: Assisting Android API Migrations Using Code Examples. - Maxime Lamothe; Weiyi Shang; Tse-Hsun Peter Chen (IEEE Trans. Software Eng., 2022)

Studying Duplicate Logging Statements and Their Relationships With Code Clones. - Zhenhao Li 002; Tse-Hsun Chen; Jinqiu Yang 001; Weiyi Shang (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)

Revisiting Test Impact Analysis in Continuous Testing From the Perspective of Code Dependencies. - Zi Peng; Tse-Hsun Chen; Jinqiu Yang 001 (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)

Challenges in Adopting Artificial Intelligence Based User Input Verification Framework in Reporting Software Systems. - Dong Jae Kim; Steven Locke; Tse-Hsun Peter Chen; Andrei Toma; Steve Sporea; Laura Weinkam; Sarah Sajedi (ICSE-SEIP, 2023)

Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction. - Zhenhao Li 002; Chuan Luo 002; Tse-Hsun Chen; Weiyi Shang; Shilin He; Qingwei Lin; Dongmei Zhang 001 (ICSE, 2023)

Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages. - Zhenhao Li 002; An Ran Chen; Xing Hu 008; Xin Xia 001; Tse-Hsun Chen; Weiyi Shang (ASE, 2023)

Back to the Future! Studying Data Cleanness in Defects4J and its Impact on Fault Localization. - An Ran Chen; Md Nakhla Rafi; Tse-Hsun Chen; Shaohua Wang 002 (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)

T-Evos: A Large-Scale Longitudinal Study on CI Test Execution and Failure. - An Ran Chen; Tse-Hsun Peter Chen; Shaowei Wang 002 (IEEE Trans. Software Eng., 2023)

SLocator: Localizing the Origin of SQL Queries in Database-Backed Web Applications. - Wei Liu 155; Tse-Hsun Chen (IEEE Trans. Software Eng., 2023)

Study the correlation between the readme file of GitHub projects and their popularity. - Tianlei Wang; Shaowei Wang 002; Tse-Hsun (Peter) Chen (J. Syst. Softw., 2023)

DVC in Open Source ML-development: The Action and the Reaction. - Lorena Barreto Simedo Pacheco; Musfiqur Rahman; Fazle Rabbi; Pouya Fathollahzadeh; Ahmad Abdellatif; Emad Shihab; Tse-Hsun (Peter) Chen; Jinqiu Yang 001; Ying Zou 001 (CAIN, 2024)

A First Look at the Inheritance-Induced Redundant Test Execution. - Dong Jae Kim; Jinqiu Yang 001; Tse-Hsun Chen (ICSE, 2024)

Exploring the Impact of Inheritance on Test Code Maintainability. - Dong Jae Kim; Tse-Hsun Chen (ICSE Companion, 2024)

LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing. - Zeyang Ma; An Ran Chen; Dong Jae Kim; Tse-Hsun Chen; Shaowei Wang 002 (ICSE, 2024)

Exploring Data Cleanness in Defects4J and Its Influence on Fault Localization Efficiency. - Md Nakhla Rafi; An Ran Chen; Tse-Hsun (Peter) Chen; Shaohua Wang 002 (ICSE Companion, 2024)

Blessing or Curse? Investigating Test Code Maintenance Through Inheritance and Interface. - Dong Jae Kim; Tse-Hsun Peter Chen (ICSME, 2024)

MLOLET - Machine Learning Optimized Load and Endurance Testing: An industrial experience report. - Arthur Vitui; Tse-Hsun Chen (ASE, 2024)

Decoding Anomalies! Unraveling Operational Challenges in Human-in-the-Loop Anomaly Validation. - Dong Jae Kim; Steven Locke; Tse-Hsun (Peter) Chen; Andrei Toma; Sarah Sajedi; Steve Sporea; Laura Weinkam (SIGSOFT FSE Companion, 2024)

ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using ChatGPT. - Azmain Kabir; Shaowei Wang 002; Yuan Tian 008; Tse-Hsun Chen; Muhammad Asaduzzaman; Wenbin Zhang 002 (CoRR, 2024)

When LLM-based Code Generation Meets the Software Development Process. - Feng Lin; Dong Jae Kim; Tse-Hsun Chen (CoRR, 2024)

Leveraging Stack Traces for Spectrum-based Fault Localization in the Absence of Failing Tests. - Lorena Barreto Simedo Pacheco; An Ran Chen; Jinqiu Yang 001; Tse-Hsun Chen (CoRR, 2024)

Identifying Performance-Sensitive Configurations in Software Systems through Code Analysis with LLM Agents. - Zehao Wang; Dong Jae Kim; Tse-Hsun Chen (CoRR, 2024)

OpenLogParser: Unsupervised Parsing with Open-Source Large Language Models. - Zeyang Ma; Dong Jae Kim; Tse-Hsun Chen (CoRR, 2024)

Enhancing Fault Localization Through Ordered Code Analysis with LLM Agents and Self-Reflection. - Md Nakhla Rafi; Dong Jae Kim; Tse-Hsun Chen; Shaowei Wang 002 (CoRR, 2024)

A Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models. - Yixi Wu; Pengfei He; Zehao Wang; Shaowei Wang 002; Yuan Tian 008; Tse-Hsun Chen (CoRR, 2024)

Studying and Benchmarking Large Language Models For Log Level Suggestion. - Yi Wen Heng; Zeyang Ma; Zhenhao Li 002; Dong Jae Kim; Tse-Hsun Chen (CoRR, 2024)

Exploring Demonstration Retrievers in RAG for Coding Tasks: Yeas and Nays! - Pengfei He; Shaowei Wang 002; Shaiful Chowdhury; Tse-Hsun Chen (CoRR, 2024)

Discovery of Timeline and Crowd Reaction of Software Vulnerability Disclosures. - Yi Wen Heng; Zeyang Ma; Haoxiang Zhang 001; Zhenhao Li 002; Tse-Hsun Chen (CoRR, 2024)

On Rank Aggregating Test Prioritizations. - Shouvick Mondal; Tse-Hsun Chen (CoRR, 2024)

PopSweeper: Automatically Detecting and Resolving App-Blocking Pop-Ups to Assist Automated Mobile GUI Testing. - Linqiang Guo; Wei Liu 155; Yi Wen Heng; Tse-Hsun Chen; Yang Wang (CoRR, 2024)

The Impact of Input Order Bias on Large Language Models for Software Fault Localization. - Md Nakhla Rafi; Dong Jae Kim; Tse-Hsun Chen; Shaowei Wang 002 (CoRR, 2024)

Studying and recommending information highlighting in Stack Overflow answers. - Shahla Shaan Ahmed; Shaowei Wang 002; Yuan Tian 008; Tse-Hsun (Peter) Chen; Haoxiang Zhang 001 (Inf. Softw. Technol., 2024)

Towards Better Graph Neural Network-Based Fault Localization through Enhanced Code Representation. - Md Nakhla Rafi; Dong Jae Kim; An Ran Chen; Tse-Hsun (Peter) Chen; Shaowei Wang 002 (Proc. ACM Softw. Eng., 2024)

VulNet: Towards improving vulnerability management in the Maven ecosystem. - Zeyang Ma; Shouvick Mondal; Tse-Hsun (Peter) Chen; Haoxiang Zhang 001; Ahmed E. Hassan (Empir. Softw. Eng., 2024)

An Empirical Study on the Characteristics of Database Access Bugs in Java Applications. - Wei Liu 155; Shouvick Mondal; Tse-Hsun (Peter) Chen (ACM Trans. Softw. Eng. Methodol., 2024)

SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents. - Feng Lin; Dong Jae Kim; Tse-Hsun Chen (ICSE, 2025)

LibreLog: Accurate and Efficient Unsupervised Log Parsing Using Open-Source Large Language Models. - Zeyang Ma; Dong Jae Kim; Tse-Hsun Peter Chen (ICSE, 2025)

Benchmarking Open-Source Large Language Models for Log Level Suggestion. - Yi Wen Heng; Zeyang Ma; Zhenhao Li 002; Dong Jae Kim; Tse-Hsun Chen (ICST, 2025)

Revisiting Defects4J for Fault Localization in Diverse Development Scenarios. - Md Nakhla Rafi; An Ran Chen; Tse-Hsun Peter Chen; Shaohua Wang 002 (MSR, 2025)

Evaluating the Effectiveness and Efficiency of Demonstration Retrievers in RAG for Coding Tasks. - Pengfei He; Shaowei Wang 002; Shaiful Chowdhury; Tse-Hsun Chen (SANER, 2025)

RPerf: Mining user reviews using topic modeling to assist performance testing: An industrial experience report. - Zehao Wang; Wei Liu 155; Jinfu Chen 002; Tse-Hsun (Peter) Chen (J. Syst. Softw., 2025)

Empowering AIOps: Leveraging Large Language Models for IT Operations Management. - Arthur Vitui; Tse-Hsun Chen (CoRR, 2025)

GUIWatcher: Automatically Detecting GUI Lags by Analyzing Mobile Application Screencasts. - Wei Liu 155; Feng Lin; Linqiang Guo; Tse-Hsun Chen; Ahmed E. Hassan (CoRR, 2025)

CODEPROMPTZIP: Code-specific Prompt Compression for Retrieval-Augmented Generation in Coding Tasks with LMs. - Pengfei He; Shaowei Wang 002; Tse-Hsun Chen (CoRR, 2025)

MANTRA: Enhancing Automated Method-Level Refactoring with Contextual RAG and Multi-Agent LLM Collaboration. - Yisen Xu; Feng Lin; Jinqiu Yang 001; Tse-Hsun Chen; Nikolaos Tsantalis (CoRR, 2025)

RobuNFR: Evaluating the Robustness of Large Language Models on Non-Functional Requirements Aware Code Generation. - Feng Lin; Dong Jae Kim; Zhenhao Li 002; Jinqiu Yang 001; Tse-Hsun (Peter) Chen (CoRR, 2025)

Studying the Impact of Early Test Termination Due to Assertion Failure on Code Coverage and Spectrum-based Fault Localization. - Md Ashraf Uddin; Shaowei Wang 002; An Ran Chen; Tse-Hsun Chen (CoRR, 2025)

MAPLE: A Mobile Assistant with Persistent Finite State Machines for Recovery Reasoning. - Linqiang Guo; Wei Liu 155; Yi Wen Heng; Tse-Hsun Chen; Yang Wang (CoRR, 2025)

ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets Using LLMs. - Azmain Kabir; Shaowei Wang 002; Yuan Tian 008; Tse-Hsun (Peter) Chen; Muhammad Asaduzzaman; Wenbin Zhang 002 (ACM Trans. Softw. Eng. Methodol., 2025)