Shengcheng Yu

Ph.D Candidate

iSE Lab, Software Institute, Nanjing University
Research Interest: Software Testing, Mobile Application Testing, Crowdsourced Testing, Deep GUI Understanding, Multi-Modal Information Semantic Analysis, Deep Learning Application
E-mail: yusc AT smail DOT nju DOT edu DOT cn
Homepage: https://seysc.com

Experience

  •   Sep. 2020 - Now: Ph.D. Candidate in Software Engineering (Nanjing University, Software Institute)
  •   Oct. 2022 - Oct. 2023: Visiting Student (ETH Zurich, Department of Computer Science)
  •   Sep. 2016 - Jun. 2020: B.Eng. in Software Engineering (Nanjing University, Software Institute)

Awards

  • 2023 Nanjing University Guotai Junan Scholarship
  • 2023 Nanjing University Excellent Graduate Student Innovation Project
  • 2021 National Scholarship for Graduate Students
  • 2020 Nanjing University Graduate Scholarship
  • 2020 Nanjing University - HPI Research Scholarship
  • 2020 Nanjing University President's Special Scholarship for Ph.D. Student
  • 2020 Nanjing University Distinguished Undergraduate Thesis - First Prize
  • 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 Nanjing University Renmin Scholarship
  • 2017-2018 Nanjing University Renmin Scholarship
  • 2016-2017 Nanjing University Renmin Scholarship

Project Involved

  • Project Leader: Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX22_0174)
    Crowdsourced Test Report Optimization based on Multi-Modal Information Fusion Understanding

  • Project Participant: National Natural Science Foundation of China (62141215)
    Crowdsourced Testing for Ubiquitous Operating System (UOS) Open Source Ecosystem

  • Project Leader: Nanjing University Training Program of Innovation for Undergraduates (202010284073Z)
    Mobile Application Testing Research Based on Image Understanding

  • Project Participant: National Key R&D Program of China (2018YFB1403400)
    R&D and Application of Integrated Crowdsourcing Test Service Platform for Information Products and Technology Services

  • Project Participant: National Natural Science Foundation of China (61802171)
    Human-Machine Collaborative Mobile Application Testing Based on Comprehensible Information Fusion

Publication

     #: Co-first Author    *: Corresponding Author

2024

2023

2022

2021

2020

2019

Patent (Chinese)

  • 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, 曹振⻜, 王旭, 虞圣呈, 恽叶霄, 李彤宇.

  • 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, 李彤宇.

  • 一种面向安卓应用的崩溃信息线上分析方法. 房春荣, 李秋婷, 田元汉, 虞圣呈, 陈振宇.

  • 一种基于深度图像理解的移动应用跨平台强化学习遍历测试技术. 房春荣, 刘昱磊, 张子谦, 虞圣呈, 恽叶霄, 陈振宇.

  • 一种基于图像文本融合分析的移动应用众包测试报告排序的方法. 房春荣, 王旭, 曹振⻜, 虞圣呈, 李彤宇, 陈振宇.

  • 一种基于深度图像语意挖掘的移动应用众包测试报告聚类的方法. 房春荣, 杜铭哲, 虞圣呈, 李彤宇, 张鹤元, 陈振宇.

  • 一种基于知识图谱的移动应用功能点测试知识库搭建的方法. 房春荣, 曾鹏程, 虞圣呈, 王旭, 丁自民, 陈振宇.

  • 一种基于图像文本语意融合分析的移动应用众测报告一致性检测的方法. 房春荣, 李彤宇, 虞圣呈, 恽叶霄, 曹智豪, 陈振宇.

  • 一种基于深度图像理解的通用型强化学习软件遍历测试技术. 房春荣, 张子谦, 虞圣呈, 刘昱磊, 恽叶霄, 陈振宇.

  • 一种基于图像理解与代码分析结合的移动测试脚本意图识别的方法. 房春荣, 张晶, 虞圣呈, 李彤宇, 杜铭哲, 陈振宇.

  • 一种基于机械臂仿真与深度界面理解的移动测试脚本录制回放的方法. 房春荣, 曹智豪, 虞圣呈, 李昕, 陈振宇.

Academic Service

  • PC Member
    • MSR 2024 (Technical Track), ICSE 2024 (Artifact Evaluation Track)
  • External Reviewer
    • TOSEM, TSE, JSS, FCS, IET Software, ICSE (2021 2022), ASE (2020 2021 2022 2023), ESEC/FSE (2020 2023), ISSTA (2021), ChinaSoft (2022), ISSRE (2020 2022 2023), ICST (2020 2021 2022), COMPSAC (2021), QRS (2020 2021 2022), AST (2023), AITest (2020 2021), DSA (2020 2023)
  • [CST 2020] Online Coordinator for National Contest on Software Testing
  • [CST 2019] On-site Coordinator for National Contest on Software Testing
  • [QRS 2019] On-site Coordinator for IEEE International Contest on Software Testing
  • [ISSTA 2019] Student Volunteer
  • [ISSTA 2019] On-site Coordinator for Testing Competition

Teaching

  • [2023-2024] Teaching Assistant: Automated Testing

  • [2021-2022] Teaching Assistant: Software Engineering and Computing III

  • [2021-2022] Teaching Assistant: Foundation of Computing System

  • [2021-2022] Teaching Assistant: Automated Testing

  • [2020-2021] Teaching Assistant: Automated Testing

  • [2019-2020] Teaching Assistant: Automated Testing

One More Thing

  • Classic Music Fans
  • French Horn Playing (Member of Nanjing University Symphony Orchestra)
Last Updated: 2024-01-10