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 26 papers between 2020 and 2025.

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

Timeline

Legend:

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Bibliography

2025
A Roadmap for Software Testing in Open-Collaborative and AI-Powered Era.
ACM Trans. Softw. Eng. Methodol., June, 2025

One Sentence Can Kill the Bug: Auto-Replay Mobile App Crashes From One-Sentence Overviews.
IEEE Trans. Software Eng., April, 2025

Deep API Sequence Generation via Golden Solution Samples and API Seeds.
ACM Trans. Softw. Eng. Methodol., February, 2025

Standing on the Shoulders of Giants: Bug-Aware Automated GUI Testing via Retrieval Augmentation.
Proc. ACM Softw. Eng., 2025

2024
Software Testing With Large Language Models: Survey, Landscape, and Vision.
IEEE Trans. Software Eng., April, 2024

Vision-driven Automated Mobile GUI Testing via Multimodal Large Language Model.
CoRR, 2024

CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace.
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.
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.
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.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023
Nighthawk: Fully Automated Localizing UI Display Issues via Visual Understanding.
IEEE Trans. Software Eng., 2023

Testing the Limits: Unusual Text Inputs Generation for Mobile App Crash Detection with Large Language Model.
CoRR, 2023

Software Testing with Large Language Model: Survey, Landscape, and Vision.
CoRR, 2023

Chatting with GPT-3 for Zero-Shot Human-Like Mobile Automated GUI Testing.
CoRR, 2023

Ex pede Herculem: Augmenting Activity Transition Graph for Apps via Graph Convolution Network.
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.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Context-aware Bug Reproduction for Mobile Apps.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
The Metamorphosis: Automatic Detection of Scaling Issues for Mobile Apps.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

NaviDroid: A Tool for Guiding Manual Android Testing via Hint Moves.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

Woodpecker: Identifying and Fixing Android UI Display Issues.
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.
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.
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.
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.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Discovering UI Display Issues with Visual Understanding.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Quest for the Golden Approach: An Experimental Evaluation of Duplicate Crowdtesting Reports Detection.
Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020


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