Shaowei Wang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 51

Top Topics

Longitudinal Study

Bug Localization

Top Venues

IEEE Trans. Software Eng.

Empir. Softw. Eng.

Publications

Zeyang Ma, An Ran Chen, Dong Jae Kim, Tse-Hsun Chen, Shaowei Wang
LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing. ICSE (2024)
Xu Yang, Gopi Krishnan Rajbahadur, Dayi Lin, Shaowei Wang, Zhen Ming Jiang
SimClone: Detecting Tabular Data Clones using Value Similarity. CoRR (2024)
Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang, Bowen Xu
An Empirical Study on the Effectiveness of Large Language Models for SATD Identification and Classification. CoRR (2024)
Azmain Kabir, Shaowei Wang, Yuan Tian, Tse-Hsun Chen, Muhammad Asaduzzaman, Wenbin Zhang
ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using ChatGPT. CoRR (2024)
Haoran Yang, Yu Nong, Shaowei Wang, Haipeng Cai
Multi-Language Software Development: Issues, Challenges, and Solutions. IEEE Trans. Software Eng. 50 (3) (2024)
Zeyang Ma, An Ran Chen, Dong Jae Kim, Tse-Hsun Chen, Shaowei Wang
LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing. CoRR (2024)
Shahla Shaan Ahmed, Shaowei Wang, Yuan Tian, Tse-Hsun Chen, Haoxiang Zhang
A First Look at Information Highlighting in Stack Overflow Answers. CoRR (2024)
Md Nakhla Rafi, Dong Jae Kim, An Ran Chen, Tse-Hsun Chen, Shaowei Wang
Towards Better Graph Neural Network-based Fault Localization Through Enhanced Code Representation. CoRR (2024)
Shahla Shaan Ahmed, Shaowei Wang, Yuan Tian, Tse-Hsun (Peter) Chen, Haoxiang Zhang
Studying and recommending information highlighting in Stack Overflow answers. Inf. Softw. Technol. 172 (2024)
Md Nakhla Rafi, Dong Jae Kim, An Ran Chen, Tse-Hsun (Peter) Chen, Shaowei Wang
Towards Better Graph Neural Network-Based Fault Localization through Enhanced Code Representation. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Ximing Dong, Dayi Lin, Shaowei Wang, Ahmed E. Hassan
A Framework for Real-time Safeguarding the Text Generation of Large Language Model. CoRR (2024)
Tianlei Wang, Shaowei Wang, Tse-Hsun (Peter) Chen
Study the correlation between the readme file of GitHub projects and their popularity. J. Syst. Softw. 205 (2023)
Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang
A study of update request comments in Stack Overflow answer posts. J. Syst. Softw. 198 (2023)
Mohammad Sadegh Sheikhaei, Yuan Tian, Shaowei Wang
A Study of Update Request Comments in Stack Overflow Answer Posts. CoRR (2023)
An Ran Chen, Tse-Hsun Peter Chen, Shaowei Wang
T-Evos: A Large-Scale Longitudinal Study on CI Test Execution and Failure. IEEE Trans. Software Eng. 49 (4) (2023)
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) (2022)
Zehao Wang, Tse-Hsun (Peter) Chen, Haoxiang Zhang, Shaowei Wang
An empirical study on the challenges that developers encounter when developing Apache Spark applications. J. Syst. Softw. 194 (2022)
Ratnadira Widyasari, Gede Artha Azriadi Prana, Stefanus Agus Haryono, Shaowei Wang, David Lo
Real world projects, real faults: evaluating spectrum based fault localization techniques on Python projects. Empir. Softw. Eng. 27 (6) (2022)
Shahla Shaan Ahmed, Shaowei Wang, Haoxiang Zhang, Tse-Hsun Chen, Yuan Tian
A First Look at Information Highlighting in Stack Overflow Answers. ICSME (2022)
Gopi Krishnan Rajbahadur, Shaowei Wang, Gustavo Ansaldi Oliva, Yasutaka Kamei, Ahmed E. Hassan
The Impact of Feature Importance Methods on the Interpretation of Defect Classifiers. IEEE Trans. Software Eng. 48 (7) (2022)
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) (2022)
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan
The Impact of Using Regression Models to Build Defect Classifiers. CoRR (2022)
An Ran Chen, Tse-Hsun Chen, Shaowei Wang
Pathidea: Improving Information Retrieval-Based Bug Localization by Re-Constructing Execution Paths Using Logs. IEEE Trans. Software Eng. 48 (8) (2022)
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan
Impact of Discretization Noise of the Dependent variable on Machine Learning Classifiers in Software Engineering. CoRR (2022)
Jiayuan Zhou, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan, Naoyasu Ubayashi
Studying donations and their expenses in open source projects: a case study of GitHub projects collecting donations through open collectives. Empir. Softw. Eng. 27 (1) (2022)
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan
The impact of feature importance methods on the interpretation of defect classifiers. CoRR (2022)
Aaditya Bhatia, Shaowei Wang, Muhammad Asaduzzaman, Ahmed E. Hassan
A Study of Bug Management Using the Stack Exchange Question and Answering Platform. IEEE Trans. Software Eng. 48 (2) (2022)
Jiayuan Zhou, Shaowei Wang, Haoxiang Zhang, Tse-Hsun (Peter) Chen, Ahmed E. Hassan
Studying backers and hunters in bounty issue addressing process of open source projects. Empir. Softw. Eng. 26 (4) (2021)
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan
Impact of Discretization Noise of the Dependent Variable on Machine Learning Classifiers in Software Engineering. IEEE Trans. Software Eng. 47 (7) (2021)
Haoxiang Zhang, Shaowei Wang, Tse-Hsun Chen, Ahmed E. Hassan
Reading Answers on Stack Overflow: Not Enough! IEEE Trans. Software Eng. 47 (11) (2021)
Zhou Yang, Jieke Shi, Shaowei Wang, David Lo
IncBL: Incremental Bug Localization. ASE (2021)
Jiayuan Zhou, Shaowei Wang, Cor-Paul Bezemer, Ying Zou, Ahmed E. Hassan
Studying the Association Between Bountysource Bounties and the Issue-Addressing Likelihood of GitHub Issue Reports. IEEE Trans. Software Eng. 47 (12) (2021)
An Ran Chen, Tse-Hsun (Peter) Chen, Shaowei Wang
Demystifying the challenges and benefits of analyzing user-reported logs in bug reports. Empir. Softw. Eng. 26 (1) (2021)
Zehao Wang, Haoxiang Zhang, Tse-Hsun (Peter) Chen, Shaowei Wang
Would you like a quick peek? providing logging support to monitor data processing in big data applications. ESEC/SIGSOFT FSE (2021)
Haoxiang Zhang, Shaowei Wang, Tse-Hsun Chen, Ying Zou, Ahmed E. Hassan
An Empirical Study of Obsolete Answers on Stack Overflow. IEEE Trans. Software Eng. 47 (4) (2021)
Zhou Yang, Jieke Shi, Shaowei Wang, David Lo
IncBL: Incremental Bug Localization. CoRR (2021)
Shaowei Wang, Daniel M. German, Tse-Hsun Chen, Yuan Tian, Ahmed E. Hassan
Is reputation on Stack Overflow always a good indicator for users' expertise? No! ICSME (2021)
Haoxiang Zhang, Shaowei Wang, Tse-Hsun (Peter) Chen, Ahmed E. Hassan
Are Comments on Stack Overflow Well Organized for Easy Retrieval by Developers? ACM Trans. Softw. Eng. Methodol. 30 (2) (2021)
Shaowei Wang, Tse-Hsun Chen, Ahmed E. Hassan
How Do Users Revise Answers on Technical Q&A Websites? A Case Study on Stack Overflow. IEEE Trans. Software Eng. 46 (9) (2020)
Jiayuan Zhou, Shaowei Wang, Cor-Paul Bezemer, Ahmed E. Hassan
Bounties on technical Q&A sites: a case study of Stack Overflow bounties. Empir. Softw. Eng. 25 (1) (2020)
Hanyang Hu, Shaowei Wang, Cor-Paul Bezemer, Ahmed E. Hassan
Studying the consistency of star ratings and reviews of popular free hybrid Android and iOS apps. Empir. Softw. Eng. 24 (1) (2019)
Yuhao Wu, Shaowei Wang, Cor-Paul Bezemer, Katsuro Inoue
How do developers utilize source code from stack overflow? Empir. Softw. Eng. 24 (2) (2019)
Haoxiang Zhang, Shaowei Wang, Tse-Hsun Peter Chen, Ahmed E. Hassan
Does the hiding mechanism for Stack Overflow comments work well? No! CoRR (2019)
Jiayuan Zhou, Shaowei Wang, Cor-Paul Bezemer, Ying Zou, Ahmed E. Hassan
Bounties in Open Source Development on GitHub: A Case Study of Bountysource Bounties. CoRR (2019)
Haoxiang Zhang, Shaowei Wang, Tse-Hsun Chen, Ying Zou, Ahmed E. Hassan
An Empirical Study of Obsolete Answers on Stack Overflow. CoRR (2019)
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. Empir. Softw. Eng. 23 (3) (2018)
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)
Shaowei Wang, David Lo, Bogdan Vasilescu, Alexander Serebrenik
EnTagRec ++: An enhanced tag recommendation system for software information sites. Empir. Softw. Eng. 23 (2) (2018)
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan
The impact of using regression models to build defect classifiers. MSR (2017)
Shaowei Wang, David Lo
AmaLgam+: Composing Rich Information Sources for Accurate Bug Localization. J. Softw. Evol. Process. 28 (10) (2016)
Shaowei Wang, David Lo, Lingxiao Jiang
AutoQuery: automatic construction of dependency queries for code search. Autom. Softw. Eng. 23 (3) (2016)
Meili Lu, Xiaobing Sun, Shaowei Wang, David Lo, Yucong Duan
Query expansion via WordNet for effective code search. SANER (2015)
Fei Lv, Hongyu Zhang, Jian-Guang Lou, Shaowei Wang, Dongmei Zhang, Jianjun Zhao
CodeHow: Effective Code Search Based on API Understanding and Extended Boolean Model (E). ASE (2015)
Siqi Ma, Shaowei Wang, David Lo, Robert Huijie Deng, Cong Sun
Active Semi-supervised Approach for Checking App Behavior against Its Description. COMPSAC (2015)
Shaowei Wang, David Lo, Lingxiao Jiang
Active code search: incorporating user feedback to improve code search relevance. ASE (2014)
Shaowei Wang, David Lo, Julia Lawall
Compositional Vector Space Models for Improved Bug Localization. ICSME (2014)
Shaowei Wang, David Lo, Bogdan Vasilescu, Alexander Serebrenik
EnTagRec: An Enhanced Tag Recommendation System for Software Information Sites. ICSME (2014)
Shaowei Wang, David Lo
Version history, similar report, and structure: putting them together for improved bug localization. ICPC (2014)
Shaowei Wang, David Lo, Lingxiao Jiang
An empirical study on developer interactions in StackOverflow. SAC (2013)
Tien-Duy B. Le, Shaowei Wang, David Lo
Multi-abstraction Concern Localization. ICSM (2013)
Ferdian Thung, Shaowei Wang, David Lo, Julia Lawall
Automatic recommendation of API methods from feature requests. ASE (2013)
Tegawendé F. Bissyandé, Ferdian Thung, Shaowei Wang, David Lo, Lingxiao Jiang, Laurent Réveillère
Empirical Evaluation of Bug Linking. CSMR (2013)
Shaowei Wang, David Lo, Lingxiao Jiang
Understanding Widespread Changes: A Taxonomic Study. CSMR (2013)
Ferdian Thung, Shaowei Wang, David Lo, Lingxiao Jiang
An Empirical Study of Bugs in Machine Learning Systems. ISSRE (2012)
Shaowei Wang, David Lo, Lingxiao Jiang
Inferring semantically related software terms and their taxonomy by leveraging collaborative tagging. ICSM (2012)
Shaowei Wang, David Lo, Lingxiao Jiang
Code Search via Topic-Enriched Dependence Graph Matching. WCRE (2011)
Aditya Budi, Lucia, David Lo, Lingxiao Jiang, Shaowei Wang
Automated Detection of Likely Design Flaws in N-Tier Architectures. SEKE (2011)
Shaowei Wang, David Lo, Lingxiao Jiang, Lucia, Hoong Chuin Lau
Search-based fault localization. ASE (2011)
Shaowei Wang, David Lo, Zhenchang Xing, Lingxiao Jiang
Concern Localization using Information Retrieval: An Empirical Study on Linux Kernel. WCRE (2011)