Shaowei Wang

104 papers A* 10A 11B 1C 1Misc 1Journal 70Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey of Code Review Benchmarks and Evaluation Practices in Pre-LLM and LLM Era.
CoRR
Taufiqul Islam Khan, Shaowei Wang, Haoxiang Zhang, Tse-Hsun Chen
2026 J jnl
Beyond Tokens: Semantic-Aware Speculative Decoding for Efficient Inference by Probing Internal States.
CoRR
Ximing Dong, Shaowei Wang, Dayi Lin, Boyuan Chen, Ahmed E. Hassan
2026 J jnl
When Elo Lies: Hidden Biases in Codeforces-Based Evaluation of Large Language Models.
CoRR
Shenyu Zheng, Ximing Dong, Xiaoshuang Liu, Gustavo Oliva, Chong Chun Yong, Dayi Lin, Boyuan Chen, Shaowei Wang, Ahmed E. Hassan
2025 A conf
A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection.
EASE
Seyed Shayan Daneshvar, Da Tan, Shaowei Wang, Carson K. Leung
2025 J jnl
A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection.
CoRR
Seyed Shayan Daneshvar, Da Tan, Shaowei Wang, Carson K. Leung
2025 J jnl
CODEPROMPTZIP: Code-specific Prompt Compression for Retrieval-Augmented Generation in Coding Tasks with LMs.
CoRR
Pengfei He, Shaowei Wang, Tse-Hsun Chen
2025 J jnl
Code Change Intention, Development Artifact and History Vulnerability: Putting Them Together for Vulnerability Fix Detection by LLM.
CoRR
Xu Yang, Wenhan Zhu, Michael Pacheco, Jiayuan Zhou, Shaowei Wang, Xing Hu, Kui Liu
2025 J jnl
Code Change Intention, Development Artifact, and History Vulnerability: Putting Them Together for Vulnerability Fix Detection by LLM.
Proc. ACM Softw. Eng.
Xu Yang, Wenhan Zhu, Michael Pacheco, Jiayuan Zhou, Shaowei Wang, Xing Hu, Kui Liu
2025 A conf
Evaluating the Effectiveness and Efficiency of Demonstration Retrievers in RAG for Coding Tasks.
SANER
Pengfei He, Shaowei Wang, Shaiful Alam Chowdhury, Tse-Hsun Chen
2025 A* conf
Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness.
AAAI
Zichong Wang, Zhibo Chu, Thang Viet Doan, Shaowei Wang, Yongkai Wu, Vasile Palade, Wenbin Zhang
2025 J jnl
Lingxi: Repository-Level Issue Resolution Framework Enhanced by Procedural Knowledge Guided Scaling.
CoRR
Xu Yang, Jiayuan Zhou, Michael Pacheco, Wenhan Zhu, Pengfei He, Shaowei Wang, Kui Liu, Ruiqi Pan
2025 — conf
Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization.
ACL (Findings)
Ximing Dong, Shaowei Wang, Dayi Lin, Ahmed E. Hassan
2025 J jnl
Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization.
CoRR
Ximing Dong, Shaowei Wang, Dayi Lin, Ahmed E. Hassan
2025 J jnl
One-for-All Does Not Work! Enhancing Vulnerability Detection by Mixture-of-Experts (MoE).
Proc. ACM Softw. Eng.
Xu Yang, Shaowei Wang, Jiayuan Zhou, Wenhan Zhu
2025 — conf
Promptexp: Multi-Granularity Prompt Explanation of Large Language Models.
AIware
Ximing Dong, Shaowei Wang, Dayi Lin, Gopi Krishnan Rajbahadur, Ahmed E. Hassan
2025 J jnl
SLICET5: Static Program Slicing using Language Models with Copy Mechanism and Constrained Decoding.
CoRR
Pengfei He, Shaowei Wang, Tse-Hsun Chen
2025 J jnl
SimClone: Detecting Tabular Data Clones Using Value Similarity.
ACM Trans. Softw. Eng. Methodol.
Xu Yang, Gopi Krishnan Rajbahadur, Dayi Lin, Shaowei Wang, Zhen Ming (Jack) Jiang
2025 J jnl
Studying the Impact of Early Test Termination Due to Assertion Failure on Code Coverage and Spectrum-based Fault Localization.
CoRR
Md Ashraf Uddin, Shaowei Wang, An Ran Chen, Tse-Hsun Chen
2025 J jnl
Towards fair graph-based machine learning software: unveiling and mitigating graph model bias.
AI Ethics
Zichong Wang, Zhipeng Yin, Xingyu Zhang, Yuying Zhang, Xudong He, Shaowei Wang, Houbing Song, Liping Yang, Wenbin Zhang
2025 J jnl
Understanding the Effectiveness of LLMs in Automated Self-Admitted Technical Debt Repayment.
CoRR
Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang, Bowen Xu
2025 J jnl
ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets Using LLMs.
ACM Trans. Softw. Eng. Methodol.
Azmain Kabir, Shaowei Wang, Yuan Tian, Tse-Hsun (Peter) Chen, Muhammad Asaduzzaman, Wenbin Zhang
2024 J jnl
A Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models.
CoRR
Yixi Wu, Pengfei He, Zehao Wang, Shaowei Wang, Yuan Tian, Tse-Hsun Chen
2024 J jnl
A First Look at Information Highlighting in Stack Overflow Answers.
CoRR
Shahla Shaan Ahmed, Shaowei Wang, Yuan Tian, Tse-Hsun Chen, Haoxiang Zhang
2024 J jnl
A Framework for Real-time Safeguarding the Text Generation of Large Language Model.
CoRR
Ximing Dong, Dayi Lin, Shaowei Wang, Ahmed E. Hassan
2024 J jnl
An Empirical Study on the Effectiveness of Large Language Models for SATD Identification and Classification.
CoRR
Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang, Bowen Xu
2024 J jnl
An empirical study on the effectiveness of large language models for SATD identification and classification.
Empir. Softw. Eng.
Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang, Bowen Xu
2024 J jnl
Enhancing Fault Localization Through Ordered Code Analysis with LLM Agents and Self-Reflection.
CoRR
Md Nakhla Rafi, Dong Jae Kim, Tse-Hsun Chen, Shaowei Wang
2024 J jnl
Exploring Demonstration Retrievers in RAG for Coding Tasks: Yeas and Nays!
CoRR
Pengfei He, Shaowei Wang, Shaiful Alam Chowdhury, Tse-Hsun Chen
2024 J jnl
Exploring RAG-based Vulnerability Augmentation with LLMs.
CoRR
Seyed Shayan Daneshvar, Yu Nong, Xu Yang, Shaowei Wang, Haipeng Cai
2024 J jnl
GUI Element Detection Using SOTA YOLO Deep Learning Models.
CoRR
Seyed Shayan Daneshvar, Shaowei Wang
2024 A* conf
LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing.
ICSE
Zeyang Ma, An Ran Chen, Dong Jae Kim, Tse-Hsun Chen, Shaowei Wang
2024 J jnl
LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing.
CoRR
Zeyang Ma, An Ran Chen, Dong Jae Kim, Tse-Hsun Chen, Shaowei Wang
2024 J jnl
Multi-Language Software Development: Issues, Challenges, and Solutions.
IEEE Trans. Software Eng.
Haoran Yang, Yu Nong, Shaowei Wang, Haipeng Cai
2024 A conf
On the Executability of R Markdown Files.
MSR
Md. Anaytul Islam, Muhammad Asaduzzaman, Shaowei Wang
2024 J jnl
PromptExp: Multi-granularity Prompt Explanation of Large Language Models.
CoRR
Ximing Dong, Shaowei Wang, Dayi Lin, Gopi Krishnan Rajbahadur, Boquan Zhou, Shichao Liu, Ahmed E. Hassan
2024 J jnl
SimClone: Detecting Tabular Data Clones using Value Similarity.
CoRR
Xu Yang, Gopi Krishnan Rajbahadur, Dayi Lin, Shaowei Wang, Zhen Ming Jiang
2024 J jnl
Studying and recommending information highlighting in Stack Overflow answers.
Inf. Softw. Technol.
Shahla Shaan Ahmed, Shaowei Wang, Yuan Tian, Tse-Hsun (Peter) Chen, Haoxiang Zhang
2024 J jnl
The Impact of Input Order Bias on Large Language Models for Software Fault Localization.
CoRR
Md Nakhla Rafi, Dong Jae Kim, Tse-Hsun Chen, Shaowei Wang
2024 J jnl
Towards Better Graph Neural Network-Based Fault Localization through Enhanced Code Representation.
Proc. ACM Softw. Eng.
Md Nakhla Rafi, Dong Jae Kim, An Ran Chen, Tse-Hsun (Peter) Chen, Shaowei Wang
2024 J jnl
Towards Better Graph Neural Network-based Fault Localization Through Enhanced Code Representation.
CoRR
Md Nakhla Rafi, Dong Jae Kim, An Ran Chen, Tse-Hsun Chen, Shaowei Wang
2024 J jnl
VFDelta: A Framework for Detecting Silent Vulnerability Fixes by Enhancing Code Change Learning.
CoRR
Xu Yang, Shaowei Wang, Jiayuan Zhou, Xing Hu
2024 J jnl
ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using ChatGPT.
CoRR
Azmain Kabir, Shaowei Wang, Yuan Tian, Tse-Hsun Chen, Muhammad Asaduzzaman, Wenbin Zhang
2023 J jnl
A Study of Update Request Comments in Stack Overflow Answer Posts.
CoRR
Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang
2023 J jnl
A study of update request comments in Stack Overflow answer posts.
J. Syst. Softw.
Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang
2023 J jnl
An empirical study of text-based machine learning models for vulnerability detection.
Empir. Softw. Eng.
Kollin Napier, Tanmay Bhowmik, Shaowei Wang
2023 A* conf
Demystifying Issues, Challenges, and Solutions for Multilingual Software Development.
ICSE
Haoran Yang, Weile Lian, Shaowei Wang, Haipeng Cai
2023 A* conf
Does data sampling improve deep learning-based vulnerability detection? Yeas! and Nays!
ICSE
Xu Yang, Shaowei Wang, Yi Li, Shaohua Wang
2023 J jnl
Study the correlation between the readme file of GitHub projects and their popularity.
J. Syst. Softw.
Tianlei Wang, Shaowei Wang, Tse-Hsun (Peter) Chen
2023 J jnl
T-Evos: A Large-Scale Longitudinal Study on CI Test Execution and Failure.
IEEE Trans. Software Eng.
An Ran Chen, Tse-Hsun Peter Chen, Shaowei Wang
2022 A conf
A First Look at Information Highlighting in Stack Overflow Answers.
ICSME
Shahla Shaan Ahmed, Shaowei Wang, Haoxiang Zhang, Tse-Hsun Chen, Yuan Tian
2022 J jnl
A Study of Bug Management Using the Stack Exchange Question and Answering Platform.
IEEE Trans. Software Eng.
Aaditya Bhatia, Shaowei Wang, Muhammad Asaduzzaman, Ahmed E. Hassan
2022 J jnl
A Study of C/C++ Code Weaknesses on Stack Overflow.
IEEE Trans. Software Eng.
Haoxiang Zhang, Shaowei Wang, Heng Li, Tse-Hsun Chen, Ahmed E. Hassan
2022 J jnl
An empirical study on the challenges that developers encounter when developing Apache Spark applications.
J. Syst. Softw.
Zehao Wang, Tse-Hsun (Peter) Chen, Haoxiang Zhang, Shaowei Wang
2022 J jnl
Impact of Discretization Noise of the Dependent variable on Machine Learning Classifiers in Software Engineering.
CoRR
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan
2022 J jnl
Pathidea: Improving Information Retrieval-Based Bug Localization by Re-Constructing Execution Paths Using Logs.
IEEE Trans. Software Eng.
An Ran Chen, Tse-Hsun Chen, Shaowei Wang
2022 J jnl
Real world projects, real faults: evaluating spectrum based fault localization techniques on Python projects.
Empir. Softw. Eng.
Ratnadira Widyasari, Gede Artha Azriadi Prana, Stefanus Agus Haryono, Shaowei Wang, David Lo
2022 J jnl
Studying donations and their expenses in open source projects: a case study of GitHub projects collecting donations through open collectives.
Empir. Softw. Eng.
Jiayuan Zhou, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan, Naoyasu Ubayashi
2022 J jnl
Studying the Practices of Logging Exception Stack Traces in Open-Source Software Projects.
IEEE Trans. Software Eng.
Heng Li, Haoxiang Zhang, Shaowei Wang, Ahmed E. Hassan
2022 J jnl
The Impact of Feature Importance Methods on the Interpretation of Defect Classifiers.
IEEE Trans. Software Eng.
Gopi Krishnan Rajbahadur, Shaowei Wang, Gustavo Ansaldi Oliva, Yasutaka Kamei, Ahmed E. Hassan
2022 J jnl
The Impact of Using Regression Models to Build Defect Classifiers.
CoRR
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan
2022 J jnl
The impact of feature importance methods on the interpretation of defect classifiers.
CoRR
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan
2021 J jnl
An Empirical Study of Obsolete Answers on Stack Overflow.
IEEE Trans. Software Eng.
Haoxiang Zhang, Shaowei Wang, Tse-Hsun Chen, Ying Zou, Ahmed E. Hassan
2021 J jnl
Are Comments on Stack Overflow Well Organized for Easy Retrieval by Developers?
ACM Trans. Softw. Eng. Methodol.
Haoxiang Zhang, Shaowei Wang, Tse-Hsun (Peter) Chen, Ahmed E. Hassan
2021 J jnl
Demystifying the challenges and benefits of analyzing user-reported logs in bug reports.
Empir. Softw. Eng.
An Ran Chen, Tse-Hsun (Peter) Chen, Shaowei Wang
2021 J jnl
Impact of Discretization Noise of the Dependent Variable on Machine Learning Classifiers in Software Engineering.
IEEE Trans. Software Eng.
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan
2021 A* conf
IncBL: Incremental Bug Localization.
ASE
Zhou Yang, Jieke Shi, Shaowei Wang, David Lo
2021 J jnl
IncBL: Incremental Bug Localization.
CoRR
Zhou Yang, Jieke Shi, Shaowei Wang, David Lo
2021 A conf
Is reputation on Stack Overflow always a good indicator for users' expertise? No!
ICSME
Shaowei Wang, Daniel M. Germán, Tse-Hsun Chen, Yuan Tian, Ahmed E. Hassan
2021 J jnl
Reading Answers on Stack Overflow: Not Enough!
IEEE Trans. Software Eng.
Haoxiang Zhang, Shaowei Wang, Tse-Hsun Chen, Ahmed E. Hassan
2021 J jnl
Studying backers and hunters in bounty issue addressing process of open source projects.
Empir. Softw. Eng.
Jiayuan Zhou, Shaowei Wang, Haoxiang Zhang, Tse-Hsun (Peter) Chen, Ahmed E. Hassan
2021 J jnl
Studying the Association Between Bountysource Bounties and the Issue-Addressing Likelihood of GitHub Issue Reports.
IEEE Trans. Software Eng.
Jiayuan Zhou, Shaowei Wang, Cor-Paul Bezemer, Ying Zou, Ahmed E. Hassan
2021 — conf
Would you like a quick peek? providing logging support to monitor data processing in big data applications.
ESEC/SIGSOFT FSE
Zehao Wang, Haoxiang Zhang, Tse-Hsun (Peter) Chen, Shaowei Wang
2020 J jnl
Bounties on technical Q&A sites: a case study of Stack Overflow bounties.
Empir. Softw. Eng.
Jiayuan Zhou, Shaowei Wang, Cor-Paul Bezemer, Ahmed E. Hassan
2020 J jnl
How Do Users Revise Answers on Technical Q&A Websites? A Case Study on Stack Overflow.
IEEE Trans. Software Eng.
Shaowei Wang, Tse-Hsun Chen, Ahmed E. Hassan
2019 J jnl
An Empirical Study of Obsolete Answers on Stack Overflow.
CoRR
Haoxiang Zhang, Shaowei Wang, Tse-Hsun Chen, Ying Zou, Ahmed E. Hassan
2019 J jnl
Bounties in Open Source Development on GitHub: A Case Study of Bountysource Bounties.
CoRR
Jiayuan Zhou, Shaowei Wang, Cor-Paul Bezemer, Ying Zou, Ahmed E. Hassan
2019 J jnl
Does the hiding mechanism for Stack Overflow comments work well? No!
CoRR
Haoxiang Zhang, Shaowei Wang, Tse-Hsun Peter Chen, Ahmed E. Hassan
2019 J jnl
How do developers utilize source code from stack overflow?
Empir. Softw. Eng.
Yuhao Wu, Shaowei Wang, Cor-Paul Bezemer, Katsuro Inoue
2019 J jnl
Studying the consistency of star ratings and reviews of popular free hybrid Android and iOS apps.
Empir. Softw. Eng.
Hanyang Hu, Shaowei Wang, Cor-Paul Bezemer, Ahmed E. Hassan
2018 J jnl
EnTagRec ++: An enhanced tag recommendation system for software information sites.
Empir. Softw. Eng.
Shaowei Wang, David Lo, Bogdan Vasilescu, Alexander Serebrenik
2018 J jnl
Understanding the factors for fast answers in technical Q&A websites - An empirical study of four stack exchange websites.
Empir. Softw. Eng.
Shaowei Wang, Tse-Hsun Chen, Ahmed E. Hassan
2018 A* conf
Understanding the factors for fast answers in technical Q&A websites: an empirical study of four stack exchange websites.
ICSE
Shaowei Wang, Tse-Hsun Chen, Ahmed E. Hassan
2017 A conf
The impact of using regression models to build defect classifiers.
MSR
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan
2016 J jnl
AmaLgam+: Composing Rich Information Sources for Accurate Bug Localization.
J. Softw. Evol. Process.
Shaowei Wang, David Lo
2016 J jnl
AutoQuery: automatic construction of dependency queries for code search.
Autom. Softw. Eng.
Shaowei Wang, David Lo, Lingxiao Jiang
2015 B conf
Active Semi-supervised Approach for Checking App Behavior against Its Description.
COMPSAC
Siqi Ma, Shaowei Wang, David Lo, Robert Huijie Deng, Cong Sun
2015 A* conf
CodeHow: Effective Code Search Based on API Understanding and Extended Boolean Model (E).
ASE
Fei Lv, Hongyu Zhang, Jian-Guang Lou, Shaowei Wang, Dongmei Zhang, Jianjun Zhao
2015 A conf
Query expansion via WordNet for effective code search.
SANER
Meili Lu, Xiaobing Sun, Shaowei Wang, David Lo, Yucong Duan
2015 — ch.
Scalable Parallelization of Specification Mining Using Distributed Computing.
The Art and Science of Analyzing Software Data
Shaowei Wang, David Lo, Lingxiao Jiang, Shahar Maoz, Aditya Budi
2014 A* conf
Active code search: incorporating user feedback to improve code search relevance.
ASE
Shaowei Wang, David Lo, Lingxiao Jiang
2014 A conf
Compositional Vector Space Models for Improved Bug Localization.
ICSME
Shaowei Wang, David Lo, Julia Lawall
2014 A conf
EnTagRec: An Enhanced Tag Recommendation System for Software Information Sites.
ICSME
Shaowei Wang, David Lo, Bogdan Vasilescu, Alexander Serebrenik
2014 A conf
Version history, similar report, and structure: putting them together for improved bug localization.
ICPC
Shaowei Wang, David Lo
2013 Misc conf
An empirical study on developer interactions in StackOverflow.
SAC
Shaowei Wang, David Lo, Lingxiao Jiang
2013 A* conf
Automatic recommendation of API methods from feature requests.
ASE
Ferdian Thung, Shaowei Wang, David Lo, Julia Lawall
2013 — conf
Empirical Evaluation of Bug Linking.
CSMR
Tegawendé F. Bissyandé, Ferdian Thung, Shaowei Wang, David Lo, Lingxiao Jiang, Laurent Réveillère
2013 — conf
Multi-abstraction Concern Localization.
ICSM
Tien-Duy B. Le, Shaowei Wang, David Lo
2013 — conf
Understanding Widespread Changes: A Taxonomic Study.
CSMR
Shaowei Wang, David Lo, Lingxiao Jiang
2012 A conf
An Empirical Study of Bugs in Machine Learning Systems.
ISSRE
Ferdian Thung, Shaowei Wang, David Lo, Lingxiao Jiang
2012 — conf
Inferring semantically related software terms and their taxonomy by leveraging collaborative tagging.
ICSM
Shaowei Wang, David Lo, Lingxiao Jiang
2011 C conf
Automated Detection of Likely Design Flaws in N-Tier Architectures.
SEKE
Aditya Budi, Lucia, David Lo, Lingxiao Jiang, Shaowei Wang
2011 — conf
Code Search via Topic-Enriched Dependence Graph Matching.
WCRE
Shaowei Wang, David Lo, Lingxiao Jiang
2011 — conf
Concern Localization using Information Retrieval: An Empirical Study on Linux Kernel.
WCRE
Shaowei Wang, David Lo, Zhenchang Xing, Lingxiao Jiang
2011 A* conf
Search-based fault localization.
ASE
Shaowei Wang, David Lo, Lingxiao Jiang, Lucia, Hoong Chuin Lau