1. Code Visualization for Performance Improvement of Java Code for Controlling Smart Traffic System in the Smart City
- Author
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Bo Kyung Park, Byungkook Jeon, Geon-Hee Kang, R. Young Chul Kim, and Hyun Seung Son
- Subjects
Computer science ,SW performance ,02 engineering and technology ,computer.software_genre ,lcsh:Technology ,code visualization ,lcsh:Chemistry ,Software ,Smart city ,0202 electrical engineering, electronic engineering, information engineering ,Code (cryptography) ,General Materials Science ,cyber-physical system (CPS) ,Instrumentation ,lcsh:QH301-705.5 ,refactoring ,Fluid Flow and Transfer Processes ,business.industry ,lcsh:T ,Process Chemistry and Technology ,General Engineering ,020206 networking & telecommunications ,Cyclomatic complexity ,lcsh:QC1-999 ,Computer Science Applications ,Visualization ,Code refactoring ,lcsh:Biology (General) ,lcsh:QD1-999 ,lcsh:TA1-2040 ,Embedded system ,Control system ,ComputerSystemsOrganization_MISCELLANEOUS ,020201 artificial intelligence & image processing ,Performance improvement ,business ,lcsh:Engineering (General). Civil engineering (General) ,computer ,lcsh:Physics ,SW complexity - Abstract
In an intelligent smart city like Sejong city in Korea, automatic and smart software is absolutely necessary for autonomous traffic and vehicles control systems. Therefore, these systems need to have an accurate and timely performance, otherwise, safety issues may arise. To resolve this, we propose our code visualization approach to adapt an object-oriented smart traffic control simulator, which analyzes Java code&rsquo, s complexity and identifies bad codes against performance. To achieve an accurate performance, we must repeatedly perform refactoring until attaining a range of system-defined performances through effective code visualization. As a result, we enhance the code complexity of the cyber-physical system-based software to achieve the exact performance. With this approach, we expect to obtain an accurate performance and complexity improvement of the object-oriented traffic control simulator without significant power consumption.
- Published
- 2020
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