Shengcheng Yu

Orcid: 0000-0003-4640-8637

According to our database¹, Shengcheng Yu authored at least 29 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Practical, Automated Scenario-Based Mobile App Testing.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., July, 2024

Semi-supervised Crowdsourced Test Report Clustering via Screenshot-Text Binding Rules.

[BibT_eX]

[DOI]

Proc. ACM Softw. Eng., 2024

No Man is an Island: Towards Fully Automatic Programming by Code Search, Code Generation and Program Repair.

[BibT_eX]

[DOI]

CoRR, 2024

Practical Non-Intrusive GUI Exploration Testing with Visual-based Robotic Arms.

[BibT_eX]

[DOI]

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

2023

Mobile App Crowdsourced Test Report Consistency Detection via Deep Image-and-Text Fusion Understanding.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., August, 2023

Leveraging Android Automated Testing to Assist Crowdsourced Testing.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., April, 2023

Test Report Generation for Android App Testing Via Heterogeneous Data Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2023

A Survey on Large Language Models for Software Engineering.

[BibT_eX]

[DOI]

CoRR, 2023

Vision-Based Mobile App GUI Testing: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

LLM for Test Script Generation and Migration: Challenges, Capabilities, and Opportunities.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Towards Effective Bug Reproduction for Mobile Applications.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Dependable Systems and Their Applications, 2023

2022

Test case prioritization using partial attention.

[BibT_eX]

[DOI]

J. Syst. Softw., 2022

Universally Adaptive Cross-Platform Reinforcement Learning Testing via GUI Image Understanding.

[BibT_eX]

[DOI]

CoRR, 2022

Test Case Prioritization Using Partial Attention.

[BibT_eX]

[DOI]

CoRR, 2022

SemCluster: a semi-supervised clustering tool for crowdsourced test reports with deep image understanding.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

UniRLTest: universal platform-independent testing with reinforcement learning via image understanding.

[BibT_eX]

[DOI]

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

Automated Quality Assessment for Crowdsourced Test Reports Based on Dependency Parsing.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Dependable Systems and Their Applications, 2022

Automatic Bug Inference via Deep Image Understanding.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Dependable Systems and Their Applications, 2022

2021

Detecting Crowdsourced Test Report Consistency for Mobile Apps with Deep Image Understanding and Text Analysis.

[BibT_eX]

[DOI]

CoRR, 2021

Automated Mobile App Test Script Intent Generation via Image and Code Understanding.

[BibT_eX]

[DOI]

CoRR, 2021

Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Prioritize Crowdsourced Test Reports via Deep Screenshot Understanding.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing.

[BibT_eX]

[DOI]

CoRR, 2020

STIFA: Crowdsourced Mobile Testing Report Selection Based on Text and Image Fusion Analysis.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

FuRong: fusing report of automated Android testing on multi-devices.

[BibT_eX]

[DOI]

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

2019

An Exploratory Study on Judicial Image Quality Assessment Based on Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Software Quality, 2019

LIRAT: Layout and Image Recognition Driving Automated Mobile Testing of Cross-Platform.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Crowdsourced Report Generation via Bug Screenshot Understanding.

[BibT_eX]

[DOI]

Shengcheng Yu

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

From Data Quality to Model Quality: An Exploratory Study on Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Internetware '19: The 11th Asia-Pacific Symposium on Internetware, 2019

Shengcheng Yu

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