Zhe Yu

According to our database, Zhe Yu authored at least 25 papers between 2016 and 2022.

Collaborative distances:

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

2022

Identifying Self-Admitted Technical Debts With Jitterbug: A Two-Step Approach.

Zhe Yu, Fahmid Morshed Fahid, Huy Tu, Tim Menzies

IEEE Trans. Software Eng., 2022

Better Data Labelling With EMBLEM (and how that Impacts Defect Prediction).

Huy Tu, Zhe Yu, Tim Menzies

IEEE Trans. Software Eng., 2022

Assessing expert system-assisted literature reviews with a case study.

Zhe Yu, Jeffrey C. Carver, Gregg Rothermel, Tim Menzies

Expert Syst. Appl., 2022

2021

Improving Vulnerability Inspection Efficiency Using Active Learning.

Zhe Yu, Christopher Theisen, Laurie A. Williams, Tim Menzies

IEEE Trans. Software Eng., 2021

Understanding static code warnings: An incremental AI approach.

Xueqi Yang, Zhe Yu, Junjie Wang, Tim Menzies

Expert Syst. Appl., 2021

Learning to recognize actionable static code warnings (is intrinsically easy).

Xueqi Yang, Jianfeng Chen, Rahul Yedida, Zhe Yu, Tim Menzies

Empir. Softw. Eng., 2021

2020

Finding Faster Configurations Using FLASH.

Vivek Nair, Zhe Yu, Tim Menzies, Norbert Siegmund, Sven Apel

IEEE Trans. Software Eng., 2020

Better software analytics via "DUO": Data mining algorithms using/used-by optimizers.

Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu

Empir. Softw. Eng., 2020

How to Recognize Actionable Static Code Warnings (Using Linear SVMs).

Xueqi Yang, Jianfeng Chen, Rahul Yedida, Zhe Yu, Tim Menzies

CoRR, 2020

Fairway: a way to build fair ML software.

Joymallya Chakraborty, Suvodeep Majumder, Zhe Yu, Tim Menzies

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

2019

FAST²: An intelligent assistant for finding relevant papers.

Zhe Yu, Tim Menzies

Expert Syst. Appl., 2019

An Expert System for Learning Software Engineering Knowledge (with Case Studies in Understanding Static Code Warning).

Xueqi Yang, Zhe Yu, Junjie Wang, Tim Menzies

CoRR, 2019

Searching for Better Test Case Prioritization Schemes: a Case Study of AI-assisted Systematic Literature Review.

Zhe Yu, Jeffrey C. Carver, Gregg Rothermel, Tim Menzies

CoRR, 2019

Better Technical Debt Detection via SURVEYing.

Fahmid M. Fahid, Zhe Yu, Tim Menzies

CoRR, 2019

TERMINATOR: better automated UI test case prioritization.

Zhe Yu, Fahmid M. Fahid, Tim Menzies, Gregg Rothermel, Kyle Patrick, Snehit Cherian

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

2018

Finding better active learners for faster literature reviews.

Zhe Yu, Nicholas A. Kraft, Tim Menzies

Empir. Softw. Eng., 2018

Crowdtesting : When is The Party Over?

Junjie Wang, Ye Yang, Zhe Yu, Tim Menzies, Qing Wang

CoRR, 2018

Cost-aware Vulnerability Prediction: the HARMLESS Approach.

Zhe Yu, Christopher Theisen, Hyunwoo Sohn, Laurie A. Williams, Tim Menzies

CoRR, 2018

Total recall, language processing, and software engineering.

Zhe Yu, Tim Menzies

Proceedings of the 4th ACM SIGSOFT International Workshop on NLP for Software Engineering, 2018

Data-driven search-based software engineering.

Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu

Proceedings of the 15th International Conference on Mining Software Repositories, 2018

2017

Testing Reading Tactics for Automated Reading Assistance: Is it Useful to Apply Old Knowledge?

Zhe Yu, Tim Menzies

CoRR, 2017

FLASH: A Faster Optimizer for SBSE Tasks.

Vivek Nair, Zhe Yu, Tim Menzies

CoRR, 2017

Data Balancing for Technologically Assisted Reviews: Undersampling or Reweighting.

Zhe Yu, Tim Menzies

Proceedings of the Working Notes of CLEF 2017, 2017

2016

How to Read Less: Better Machine Assisted Reading Methods for Systematic Literature Reviews.

Zhe Yu, Nicholas A. Kraft, Tim Menzies

CoRR, 2016

The "BigSE" project: lessons learned from validating industrial text mining.

Rahul Krishna, Zhe Yu, Amritanshu Agrawal, Manuel Dominguez, David Wolf

Proceedings of the 2nd International Workshop on BIG Data Software Engineering, 2016