Yuan Tian

Orcid: 0000-0002-2208-3893

Affiliations:
  • Queen's University, Kingston, Canada
  • Singapore Management University


According to our database1, Yuan Tian authored at least 54 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

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

Exploring the Impact of the Output Format on the Evaluation of Large Language Models for Code Translation.
CoRR, 2024

An Empirical Study on Developers Shared Conversations with ChatGPT in GitHub Pull Requests and Issues.
CoRR, 2024

PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software.
CoRR, 2024

ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using ChatGPT.
CoRR, 2024

2023
An Empirical Study on GitHub Pull Requests' Reactions.
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

A study of update request comments in Stack Overflow answer posts.
J. Syst. Softw., April, 2023

PeaTMOSS: Mining Pre-Trained Models in Open-Source Software.
CoRR, 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

Understanding the Time to First Response in GitHub Pull Requests.
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

2022
Joined Type Length Encoding for Nested Named Entity Recognition.
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

A first look at duplicate and near-duplicate self-admitted technical debt comments.
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

A First Look at Information Highlighting in Stack Overflow Answers.
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

FeatCompare: Feature comparison for competing mobile apps leveraging user reviews.
Empir. Softw. Eng., 2021

Is reputation on Stack Overflow always a good indicator for users' expertise? No!
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
A First Look at the Deprecation of RESTful APIs: An Empirical Study.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

2019
PatchNet: a tool for deep patch classification.
Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

2018
Recommending Who to Follow in the Software Engineering Twitter Space.
ACM Trans. Softw. Eng. Methodol., 2018

Rule-based specification mining leveraging learning to rank.
Autom. Softw. Eng., 2018

2017
WebAPIRec: Recommending Web APIs to Software Projects via Personalized Ranking.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

Harnessing Twitter to support serendipitous learning of developers.
Proceedings of the IEEE 24th International Conference on Software Analysis, 2017

APIBot: question answering bot for API documentation.
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
On the unreliability of bug severity data.
Empir. Softw. Eng., 2016

Learning to rank for bug report assignee recommendation.
Proceedings of the 24th IEEE International Conference on Program Comprehension, 2016

2015
Automated prediction of bug report priority using multi-factor analysis.
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

What's hot in software engineering Twitter space?
Proceedings of the 2015 IEEE International Conference on Software Maintenance and Evolution, 2015

2014
Potential biases in bug localization: do they matter?
Proceedings of the ACM/IEEE International Conference on Automated Software Engineering, 2014

An Exploratory Study on Software Microblogger Behaviors.
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

SEWordSim: software-specific word similarity database.
Proceedings of the 36th International Conference on Software Engineering, 2014

Automated construction of a software-specific word similarity database.
Proceedings of the 2014 Software Evolution Week, 2014

LeveragingWeb 2.0 for software evolution.
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

DRONE: Predicting Priority of Reported Bugs by Multi-factor Analysis.
Proceedings of the 2013 IEEE International Conference on Software Maintenance, 2013

Predicting Project Outcome Leveraging Socio-Technical Network Patterns.
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

What does software engineering community microblog about?
Proceedings of the 9th IEEE Working Conference of Mining Software Repositories, 2012

Observatory of trends in software related microblogs.
Proceedings of the IEEE/ACM International Conference on Automated Software Engineering, 2012

Automatic classification of software related microblogs.
Proceedings of the 28th IEEE International Conference on Software Maintenance, 2012

Identifying Linux bug fixing patches.
Proceedings of the 34th International Conference on Software Engineering, 2012

Improved Duplicate Bug Report Identification.
Proceedings of the 16th European Conference on Software Maintenance and Reengineering, 2012


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