Yuan Tian
Orcid: 0000-0002-2208-3893Affiliations:
- Queen's University, Kingston, Canada
- Singapore Management University
According to our database1,
Yuan Tian
authored at least 66 papers
between 2012 and 2025.
Collaborative distances:
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Bibliography
2025
An empirical study of developers' challenges in implementing Workflows as Code: A case study on Apache Airflow.
J. Syst. Softw., 2025
2024
An empirical study on the effectiveness of large language models for SATD identification and classification.
Empir. Softw. Eng., November, 2024
An empirical study on developers' shared conversations with ChatGPT in GitHub pull requests and issues.
Empir. Softw. Eng., November, 2024
An extensive study of the effects of different deep learning models on code vulnerability detection in Python code.
Autom. Softw. Eng., June, 2024
An empirical assessment of different word embedding and deep learning models for bug assignment.
J. Syst. Softw., April, 2024
Inf. Softw. Technol., 2024
InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation.
CoRR, 2024
A Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models.
CoRR, 2024
Chain-of-Experts (CoE): Reverse Engineering Software Bills of Materials for JavaScript Application Bundles through Code Clone Search.
CoRR, 2024
An Exploratory Study on Fine-Tuning Large Language Models for Secure Code Generation.
CoRR, 2024
An Empirical Study of Developers' Challenges in Implementing Workflows as Code: A Case Study on Apache Airflow.
CoRR, 2024
ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using ChatGPT.
CoRR, 2024
SCL-CVD: Supervised contrastive learning for code vulnerability detection via GraphCodeBERT.
Comput. Secur., 2024
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software.
Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2024
Engaging with AI: An Exploratory Study on Developers' Sharing and Reactions to ChatGPT in GitHub Pull Requests.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2024
Exploring the Impact of the Output Format on the Evaluation of Large Language Models for Code Translation.
Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, 2024
Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, 2024
2023
ACM Trans. Softw. Eng. Methodol., November, 2023
VulANalyzeR: Explainable Binary Vulnerability Detection with Multi-task Learning and Attentional Graph Convolution.
ACM Trans. Priv. Secur., August, 2023
SCS-Gan: Learning Functionality-Agnostic Stylometric Representations for Source Code Authorship Verification.
IEEE Trans. Software Eng., April, 2023
J. Syst. Softw., April, 2023
Automated Self-Admitted Technical Debt Tracking at Commit-Level: A Language-independent Approach.
Proceedings of the 2023 ACM/IEEE International Conference on Technical Debt (TechDebt), 2023
Vulnerability of Open-Source Face Recognition Systems to Blackbox Attacks: A Case Study with InsightFace.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023
2022
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022
Adoption of Third-party Libraries in Mobile Apps: A Case Study on Open-source Android Applications.
Proceedings of the 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2022
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022
XAI4FL: enhancing spectrum-based fault localization with explainable artificial intelligence.
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022
2021
PatchNet: Hierarchical Deep Learning-Based Stable Patch Identification for the Linux Kernel.
IEEE Trans. Software Eng., 2021
Empir. Softw. Eng., 2021
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021
Stock Price Prediction Leveraging Reddit: The Role of Trust Filter and Sliding Window.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020
2019
Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019
2018
ACM Trans. Softw. Eng. Methodol., 2018
Autom. Softw. Eng., 2018
2017
IEEE Trans. Emerg. Top. Comput. Intell., 2017
Proceedings of the IEEE 24th International Conference on Software Analysis, 2017
Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017
An Exploratory Study of Functionality and Learning Resources of Web APIs on ProgrammableWeb.
Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering, 2017
2016
Proceedings of the 24th IEEE International Conference on Program Comprehension, 2016
2015
Empir. Softw. Eng., 2015
A comparative study on the effectiveness of part-of-speech tagging techniques on bug reports.
Proceedings of the 22nd IEEE International Conference on Software Analysis, 2015
NIRMAL: Automatic identification of software relevant tweets leveraging language model.
Proceedings of the 22nd IEEE International Conference on Software Analysis, 2015
Evaluating defect prediction approaches using a massive set of metrics: an empirical study.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015
What are the characteristics of high-rated apps? A case study on free Android Applications.
Proceedings of the 2015 IEEE International Conference on Software Maintenance and Evolution, 2015
Proceedings of the 2015 IEEE International Conference on Software Maintenance and Evolution, 2015
2014
Proceedings of the ACM/IEEE International Conference on Automated Software Engineering, 2014
Proceedings of the IEEE 4th Workshop on Mining Unstructured Data, 2014
BOAT: an experimental platform for researchers to comparatively and reproducibly evaluate bug localization techniques.
Proceedings of the 36th International Conference on Software Engineering, 2014
Proceedings of the 36th International Conference on Software Engineering, 2014
Proceedings of the 2014 Software Evolution Week, 2014
Proceedings of the Evolving Software Systems, 2014
2013
Predicting Best Answerers for New Questions: An Approach Leveraging Topic Modeling and Collaborative Voting.
Proceedings of the Social Informatics, 2013
Proceedings of the 2013 IEEE International Conference on Software Maintenance, 2013
Proceedings of the 17th European Conference on Software Maintenance and Reengineering, 2013
2012
Information Retrieval Based Nearest Neighbor Classification for Fine-Grained Bug Severity Prediction.
Proceedings of the 19th Working Conference on Reverse Engineering, 2012
Proceedings of the 9th IEEE Working Conference of Mining Software Repositories, 2012
Proceedings of the IEEE/ACM International Conference on Automated Software Engineering, 2012
Proceedings of the 28th IEEE International Conference on Software Maintenance, 2012
Proceedings of the 34th International Conference on Software Engineering, 2012
Proceedings of the 16th European Conference on Software Maintenance and Reengineering, 2012