Kyushu University [Jianjun Zhao (Professor) Faculty of Information Science and Electrical Engineering, Department of Advanced Information Technology]

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Researcher information

Jianjun Zhao
Professor
Advanced Software Engineering
Department of Advanced Information Technology
Faculty of Information Science and Electrical Engineering
Last modified date：2024.05.01

Graduate School

Department of Advanced information Technology
Graduate School of Information Science and Electrical Engineering

Department of Information Science and Technology
Graduate School of Information Science and Electrical Engineering

Undergraduate School

Department of Electrical Engineering and Computer Science
School of Engineering

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Academic Degree

Field of Specialization

Research

Research Interests

Software Engineering, programming languages
keyword : Program Analysis, Software Testing, Programming Development Environment, Automatic Programming
2016.04.

Academic Activities

Books

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1.	Jianjun Zhao, Limin Xiang, "Architectural Slicing to Support System Evolution" in In Khaled M. Khan and Yan Zhang (Eds.) "Managing Corporate Information Systems Evolution and Maintenance,", Idea Group Publishing, Chapter 8, pp.197-210, 2005.01.

Papers

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1.	Xiao Cheng, Zhiming Peng, Linxiao Jiang, Hao Zhong, Haibo Yu, Jianjun Zhao, Detecting Cross-Language Clones Without Intermediates, The 31th IEEE/ACM Conference on Automated Software Engineering (ASE 2016) (Short Paper), 696-701, 2016.09.
2.	Xiao Cheng, Yuting Chen, Zhenjiang Hu, Tao Zan, Mengyu Liu, Hao Zhong, Jianjun Zhao, Supporting Selective Undo for Refactoring, The 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016), 13-23, 2016.03.
3.	Jiabin Ye, Cheng Zhang, Lei Ma, Haibo Yu, Jianjun Zhao, Efficient and Precise Dynamic Slicing for Client-Side JavaScript Programs, The 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016) (Best Paper Candidate Award), 449-459, 2016.03, JavaScript is the de facto dominant programming language for developing web applications. Most popular websites are using JavaScript, especially to　develop client-side features. Being syntactically flexible and highly dynamic, JavaScript is easy to use and productive, but its code is known to be less　maintainable. The task of maintaining client-side JavaScript code is further complicated by the pervasive interactions between JavaScript code and HTML elements, through browsers. In this paper, we present JS-Slicer, a dynamic slicer for JavaScript, to ease the task of understanding and debugging practical client-side JavaScript code. JS-Slicer defines three types of dependences, including data dependences, control dependences, and DOM dependences, to capture all relationships between program elements. JS-Slicer extends a novel dynamic analysis framework and combines dynamic and static analysis to precisely capture the dependences at run-time. A lot of language specific issues are properly handled, which enables JS-Slicer to slice practical JavaScript code. Our evaluation on six real-world web applications and JavaScript libraries shows that JS-Slicer is both precise and efficient: on average it captures around 40K dependences in 2.5K lines of code, in less than 3.0 seconds..

Membership in Academic Society

Japan Society of Software Science and Technology
Information Processing Society of Japan
The Institute of Electronics, Information and Communications (IEICE)
China Computer Federation (CCF)
Association for Computing Machinery (ACM)
IEEE Computer Society

Educational

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