Shengcheng Yu

A Ph.D. student of Software Institute, Nanjing University

Student of iSE Lab

Supervised by Professor Zhenyu Chen & Research Assistant Chunrong Fang

Research Interest: Software Testing, Mobile Application Testing, Crowdsourced testing, Image Understanding, Deep Learning

Education Experience

NJU

2020 Nanjing University Distinguished Undergraduate Thesis (Under Rating)

2020 Nanjing University Software Institute Outstanding Graduate

2019 ACM SRC First Place Winner of Undergraduate Group in ASE 2019

2019 ACM SIGSOFT CAPS Program Award

2018 Nanjing University “NJU - Linkage” Leadership Scholarship

2018-2019 Renmin Scholarship

2017-2018 Renmin Scholarship

2016-2017 Renmin Scholarship

Nanjing University Training Program of Innovation for Undergraduates (202010284073Z)
- Mobile Application Testing Research Based on Image Understanding
- Program Leader
- National Level
National Key R&D Program of China (2018YFB1403400)
- R&D and Application of Integrated Crowdsourcing Test Service Platform for Information
  
  Products and Technology Services
- Program Participant
National Natural Science Foundation of China (61802171)
- Human-Machine Collaborative Mobile Application Testing Based on Comprehensible
  
  Information Fusion
- Program Participant

Zhenfei Cao, Xu Wang, Shengcheng Yu, Yexiao Yun, Chunrong Fang. STIFA: Crowdsourced Mobile Testing Report Selection Based on Text and Image Fusion Analysis. ASE 2020 Demo. Accepted
Yuanhan Tian, Shengcheng Yu, Chunrong Fang, Peiyuan Li. FuRong: Fusing Report of Automated Android Testing on Multi-Devices. ICSE 2020 Demo. Co-First Author. Accepted

Shengcheng Yu, Chunrong Fang, Yang Feng, Wenyuan Zhao, Zhenyu Chen. LIRAT: Layout and Image Recognition Driving Automated Mobile Testing of Cross-Platform. ASE 2019 Demo. paper
Shengcheng Yu. Crowdsourced Report Generation via Bug Screenshot Understanding. ASE 2019 Student Research Competition (ACM ASE’19 SRC First Place Undergraduate Winner). paper
Tianxing He, Shengcheng Yu, Ziyuan Wang, Jieqiong L, Zhenyu Chen. From Data Quality to Model Quality: an Exploratory Study on Deep Learning. Internetware 2019. paper
Qiqi Gu, Weilin Cai, Shengcheng Yu, Zhenyu Chen. Judicial Image Quality Assessment Based on Deep Learning: an Exploratory Study. QRS 2019. paper

LIRAT: Layout and Layout and Image Recognition Driving Automated Mobile Testing of Cross-Platform
- Cooperator: YexiaoYun@NJU, WenyuanZhao@HUAWEI
- Link
FuRong: FuRong: Fusing Report of Automated Android Testing on Multi-Devices
- Cooperator: YuanhanTian@NJU, PeiyuanLi@HUAWEI, ZhenfeiCao@NJU, XuWang@NJU
- To be open-sourced
iCTBRG: Intelligent Crowdsourced Testing Bug Report Generation
- Cooperator: YexiaoYun@NJU
To be open-sourced
STIFA: Crowdsourced Mobile Testing Report Selection Based on Text and Image Fusion Analysis
- Cooperator: ZhenfeiCao@NJU, XuWang@NJU
- To be open-sourced

A method for cross-platform replay of mobile testing script based of image recognition. Chunrong Fang, Yuanhan Tian, Shengcheng Yu, Qiuting Li, Pin Ji.
- 一种基于图像识别的跨平台脚本录制与回放方法. 房春荣, 田元汉, 虞圣呈, 李秋婷, 吉品.
A method for online analysis of crash information for Android applications. Chunrong Fang, Yuanhan Tian, Shengcheng Yu, Wenyuan Zhao, Zhenyu Chen.
- 一种面向安卓应用的崩溃信息线上分析方法. 房春荣, 田元汉, 虞圣呈, 赵文远, 陈振宇.
A method for mobile application crowdsourced testing bug report generation based on image understanding technology. Chunrong Fang, Shengcheng Yu, Yexiao Yun, Xu Wang, Zhenfei Cao, Tongyu Li.
- 一种基于图像理解技术的移动应用众包测试缺陷报告自动生成的方法. 房春荣, 虞圣呈, 恽叶霄, 王旭, 曹振⻜
A method for crowdsourced test report similarity detection based on natural language processing. Chunrong Fang, Xu Wang, Zhenfei Cao, Shengcheng Yu, Yexiao Yun, Tongyu Li.
- 一种基于自然语言处理的众包测试报告相似度检测的方法. 房春荣, 王旭, 曹振⻜, 虞圣呈, 恽叶霄, 李彤宇

Interested in classic music
- like playing French Horn
- Member of Nanjing University Symphony Orchestra

Last Updated: 2020-07-07