Shengcheng Yu

Orcid: 0000-0003-4640-8637

According to our database1, Shengcheng Yu authored at least 26 papers between 2019 and 2023.

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

Timeline

Legend:

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Links

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Bibliography

2023
Mobile App Crowdsourced Test Report Consistency Detection via Deep Image-and-Text Fusion Understanding.
IEEE Trans. Software Eng., August, 2023

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

Test Report Generation for Android App Testing Via Heterogeneous Data Analysis.
IEEE Trans. Software Eng., 2023

A Survey on Large Language Models for Software Engineering.
CoRR, 2023

Practical Non-Intrusive GUI Exploration Testing with Visual-based Robotic Arms.
CoRR, 2023

Vision-Based Mobile App GUI Testing: A Survey.
CoRR, 2023

LLM for Test Script Generation and Migration: Challenges, Capabilities, and Opportunities.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Towards Effective Bug Reproduction for Mobile Applications.
Proceedings of the 10th International Conference on Dependable Systems and Their Applications, 2023

2022
Test case prioritization using partial attention.
J. Syst. Softw., 2022

Universally Adaptive Cross-Platform Reinforcement Learning Testing via GUI Image Understanding.
CoRR, 2022

Test Case Prioritization Using Partial Attention.
CoRR, 2022

SemCluster: a semi-supervised clustering tool for crowdsourced test reports with deep image understanding.
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.
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.
Proceedings of the 9th International Conference on Dependable Systems and Their Applications, 2022

Automatic Bug Inference via Deep Image Understanding.
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.
CoRR, 2021

Automated Mobile App Test Script Intent Generation via Image and Code Understanding.
CoRR, 2021

Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Prioritize Crowdsourced Test Reports via Deep Screenshot Understanding.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020
Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing.
CoRR, 2020

STIFA: Crowdsourced Mobile Testing Report Selection Based on Text and Image Fusion Analysis.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

FuRong: fusing report of automated Android testing on multi-devices.
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.
Proceedings of the 19th IEEE International Conference on Software Quality, 2019

LIRAT: Layout and Image Recognition Driving Automated Mobile Testing of Cross-Platform.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Crowdsourced Report Generation via Bug Screenshot Understanding.
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.
Proceedings of the Internetware '19: The 11th Asia-Pacific Symposium on Internetware, 2019


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