Zhe Liu

Orcid: 0000-0001-9709-8275

Affiliations:

Chinese Academy of Sciences, Institute of Software, Beijing, China
University of Chinese Academy of Sciences, Laboratory for Internet Software Technologies, Beijing, China

According to our database¹, Zhe Liu authored at least 22 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Software Testing With Large Language Models: Survey, Landscape, and Vision.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., April, 2024

Vision-driven Automated Mobile GUI Testing via Multimodal Large Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace.

[BibT_eX]

[DOI]

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Testing the Limits: Unusual Text Inputs Generation for Mobile App Crash Detection with Large Language Model.

[BibT_eX]

[DOI]

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Make LLM a Testing Expert: Bringing Human-like Interaction to Mobile GUI Testing via Functionality-aware Decisions.

[BibT_eX]

[DOI]

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Unblind Text Inputs: Predicting Hint-text of Text Input in Mobile Apps via LLM.

[BibT_eX]

[DOI]

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Nighthawk: Fully Automated Localizing UI Display Issues via Visual Understanding.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2023

Testing the Limits: Unusual Text Inputs Generation for Mobile App Crash Detection with Large Language Model.

[BibT_eX]

[DOI]

CoRR, 2023

Software Testing with Large Language Model: Survey, Landscape, and Vision.

[BibT_eX]

[DOI]

CoRR, 2023

Chatting with GPT-3 for Zero-Shot Human-Like Mobile Automated GUI Testing.

[BibT_eX]

[DOI]

CoRR, 2023

Ex pede Herculem: Augmenting Activity Transition Graph for Apps via Graph Convolution Network.

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing.

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Context-aware Bug Reproduction for Mobile Apps.

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

The Metamorphosis: Automatic Detection of Scaling Issues for Mobile Apps.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

NaviDroid: A Tool for Guiding Manual Android Testing via Hint Moves.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

Woodpecker: Identifying and Fixing Android UI Display Issues.

[BibT_eX]

[DOI]

Zhe Liu

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

Guided Bug Crush: Assist Manual GUI Testing of Android Apps via Hint Moves.

[BibT_eX]

[DOI]

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

OwlEyes-online: a fully automated platform for detecting and localizing UI display issues.

[BibT_eX]

[DOI]

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Characterizing and Predicting Good First Issues.

[BibT_eX]

[DOI]

Proceedings of the ESEM '21: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2021

2020

Owl Eyes: Spotting UI Display Issues via Visual Understanding.