Tse-Hsun (Peter) Chen

According to our database, Tse-Hsun (Peter) Chen authored at least 62 papers between 2012 and 2024.

Collaborative distances:

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

2024

ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using ChatGPT.

Azmain Kabir, Shaowei Wang, Yuan Tian, Tse-Hsun Chen, Muhammad Asaduzzaman, Wenbin Zhang

CoRR, 2024

2023

Study the correlation between the readme file of GitHub projects and their popularity.

Tianlei Wang, Shaowei Wang, Tse-Hsun (Peter) Chen

J. Syst. Softw., November, 2023

SLocator: Localizing the Origin of SQL Queries in Database-Backed Web Applications.

Wei Liu, Tse-Hsun Chen

IEEE Trans. Software Eng., June, 2023

T-Evos: A Large-Scale Longitudinal Study on CI Test Execution and Failure.

An Ran Chen, Tse-Hsun Peter Chen, Shaowei Wang

IEEE Trans. Software Eng., April, 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

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

CoRR, 2023

Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages.

Zhenhao Li, An Ran Chen, Xing Hu, Xin Xia, Tse-Hsun Chen, Weiyi Shang

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction.

Zhenhao Li, Chuan Luo, Tse-Hsun Chen, Weiyi Shang, Shilin He, Qingwei Lin, Dongmei Zhang

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

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

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 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

Revisiting Test Impact Analysis in Continuous Testing From the Perspective of Code Dependencies.

Zi Peng, Tse-Hsun Chen, Jinqiu Yang

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

Studying Duplicate Logging Statements and Their Relationships With Code Clones.

Zhenhao Li, Tse-Hsun Chen, Jinqiu Yang, Weiyi Shang

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

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

Pathidea: Improving Information Retrieval-Based Bug Localization by Re-Constructing Execution Paths Using Logs.

An Ran Chen, Tse-Hsun Chen, Shaowei Wang

IEEE Trans. Software Eng., 2022

An empirical study on the challenges that developers encounter when developing Apache Spark applications.

Zehao Wang, Tse-Hsun (Peter) Chen, Haoxiang Zhang, Shaowei Wang

J. Syst. Softw., 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

How Useful is Code Change Information for Fault Localization in Continuous Integration?

An Ran Chen, Tse-Hsun (Peter) Chen, Junjie Chen

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

An Empirical Study on Performance Bugs in Deep Learning Frameworks.

Tarek Makkouk, Dong Jae Kim, Tse-Hsun Peter Chen

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

A First Look at Information Highlighting in Stack Overflow Answers.

Shahla Shaan Ahmed, Shaowei Wang, Haoxiang Zhang, Tse-Hsun Chen, Yuan Tian

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

2021

An Empirical Study of Obsolete Answers on Stack Overflow.

Haoxiang Zhang, Shaowei Wang, Tse-Hsun Chen, Ying Zou, Ahmed E. Hassan

IEEE Trans. Software Eng., 2021

Reading Answers on Stack Overflow: Not Enough!

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

IEEE Trans. Software Eng., 2021

Are Comments on Stack Overflow Well Organized for Easy Retrieval by Developers?

Haoxiang Zhang, Shaowei Wang, Tse-Hsun (Peter) Chen, Ahmed E. Hassan

ACM Trans. Softw. Eng. Methodol., 2021

Studying backers and hunters in bounty issue addressing process of open source projects.

Jiayuan Zhou, Shaowei Wang, Haoxiang Zhang, Tse-Hsun (Peter) Chen, Ahmed E. Hassan

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

MLASP: Machine learning assisted capacity planning.

Arthur Vitui, Tse-Hsun (Peter) Chen

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

Empir. Softw. Eng., 2021

Demystifying the challenges and benefits of analyzing user-reported logs in bug reports.

An Ran Chen, Tse-Hsun (Peter) Chen, Shaowei Wang

Empir. Softw. Eng., 2021

The Ninth International Workshop on Load Testing and Benchmarking of Software Systems (LTB 2021).

Alexander Podelko, Tse-Hsun (Peter) Chen, Hamzeh Khazaei

Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

Would you like a quick peek? providing logging support to monitor data processing in big data applications.

Zehao Wang, Haoxiang Zhang, Tse-Hsun (Peter) Chen, Shaowei Wang

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

How disabled tests manifest in test maintainability challenges?

Dong Jae Kim, Bo Yang, Jinqiu Yang, Tse-Hsun (Peter) Chen

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Is reputation on Stack Overflow always a good indicator for users' expertise? No!

Shaowei Wang, Daniel M. Germán, Tse-Hsun Chen, Yuan Tian, Ahmed E. Hassan

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

Studying Test Annotation Maintenance in the Wild.

Dong Jae Kim, Nikolaos Tsantalis, Tse-Hsun Peter Chen, Jinqiu Yang

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

2020

How Do Users Revise Answers on Technical Q&A Websites? A Case Study on Stack Overflow.

Shaowei Wang, Tse-Hsun Chen, Ahmed E. Hassan

IEEE Trans. Software Eng., 2020

Logram: Efficient Log Parsing Using n-Gram Dictionaries.

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

CoRR, 2020

The Eighth International Workshop on Load Testing and Benchmarking of Software Systems (LTB 2020).

Alexander Podelko, Tse-Hsun (Peter) Chen, Hamzeh Khazaei

Proceedings of the ICPE '20: ACM/SPEC International Conference on Performance Engineering, 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, Tse-Hsun (Peter) Chen, Lei Ma

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Where Shall We Log? Studying and Suggesting Logging Locations in Code Blocks.

Zhenhao Li, Tse-Hsun Chen, Weiyi Shang

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

2019

Studying the characteristics of logging practices in mobile apps: a case study on F-Droid.

Yi Zeng, Jinfu Chen, Weiyi Shang, Tse-Hsun (Peter) Chen

Empir. Softw. Eng., 2019

iPerfDetector: Characterizing and detecting performance anti-patterns in iOS applications.

Sara Seif Afjehei, Tse-Hsun (Peter) Chen, Nikolaos Tsantalis

Empir. Softw. Eng., 2019

Does the hiding mechanism for Stack Overflow comments work well? No!

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

CoRR, 2019

Dlfinder: characterizing and detecting duplicate logging code smells.

Zhenhao Li, Tse-Hsun (Peter) Chen, Jinqiu Yang, Weiyi Shang

Proceedings of the 41st International Conference on Software Engineering, 2019

2018

Understanding the factors for fast answers in technical Q&A websites - An empirical study of four stack exchange websites.

Shaowei Wang, Tse-Hsun Chen, Ahmed E. Hassan

Empir. Softw. Eng., 2018

Studying software logging using topic models.

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

Empir. Softw. Eng., 2018

A4: Automatically Assisting Android API Migrations Using Code Examples.

Maxime Lamothe, Weiyi Shang, Tse-Hsun Chen

CoRR, 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

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

Topic-based software defect explanation.

Tse-Hsun Chen, Weiyi Shang, Meiyappan Nagappan, Ahmed E. Hassan, Stephen W. Thomas

J. Syst. Softw., 2017

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

Proceedings of the 39th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice Track, 2017

2016

Improving the Performance of Database-Centric Applications Through Program Analysis.

Tse-Hsun Chen

PhD thesis, 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

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

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

Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

An empirical study on the practice of maintaining object-relational mapping code in Java systems.

Tse-Hsun Chen, Weiyi Shang, Jinqiu Yang, Ahmed E. Hassan, Michael W. Godfrey, Mohamed N. Nasser, Parminder Flora

Proceedings of the 13th International Conference on Mining Software Repositories, 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

Proceedings of the 13th International Conference on Mining Software Repositories, 2016

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

Proceedings of the 38th International Conference on Software Engineering, 2016

2015

Improving the quality of large-scale database-centric software systems by analyzing database access code.

Tse-Hsun Chen

Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015

2014

An empirical study of dormant bugs.

Tse-Hsun Chen, Meiyappan Nagappan, Emad Shihab, Ahmed E. Hassan

Proceedings of the 11th Working Conference on Mining Software Repositories, 2014

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

Proceedings of the 36th International Conference on Software Engineering, 2014

2012

Explaining software defects using topic models.

Tse-Hsun Chen, Stephen W. Thomas, Meiyappan Nagappan, Ahmed E. Hassan

Proceedings of the 9th IEEE Working Conference of Mining Software Repositories, 2012