Xiuting Ge

Orcid: 0000-0003-3683-7374

According to our database1, Xiuting Ge authored at least 15 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Pre-trained Model-based Actionable Warning Identification: A Feasibility Study.
CoRR, 2024

2023
An Empirical Study of Class Rebalancing Methods for Actionable Warning Identification.
IEEE Trans. Reliab., December, 2023

An unsupervised feature selection approach for actionable warning identification.
Expert Syst. Appl., October, 2023

Test case classification via few-shot learning.
Inf. Softw. Technol., August, 2023

Leveraging Android Automated Testing to Assist Crowdsourced Testing.
IEEE Trans. Software Eng., April, 2023

Machine Learning for Actionable Warning Identification: A Comprehensive Survey.
CoRR, 2023

A Survey of Source Code Search: A 3-Dimensional Perspective.
CoRR, 2023

Reducing Label Errors for Actionable Warning Identification.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

2022
Locality-based security bug report identification via active learning.
Inf. Softw. Technol., 2022

2021
A machine learning-based static analysis warning prioritization.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Semantic-based false alarm detection approach via machine learning.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Impact of datasets on machine learning based methods in Android malware detection: an empirical study.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

An Empirical Study on Spectral Clustering-based Software Defect Detection.
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

2020
A Systematic Literature Review of Android Malware Detection Using Static Analysis.
IEEE Access, 2020

2019
AMDroid: Android Malware Detection Using Function Call Graphs.
Proceedings of the 19th IEEE International Conference on Software Quality, 2019


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