@inproceedings{90ca5c9ed52f4cb9a936f39bc0efdb1e,
title = "A discovery method of the dirty data transmission path based on complex network",
abstract = "With the increasing scale of software system, the interaction between software elements becomes more and more complex, which lead to the increased dirty data in running software system. This may reduce the system performance and cause system collapse. In this paper, we proposed a discovery method of the dirty data transmission path based on complex network. Firstly, the binary file is decompiled and the function call graph is drawn by using the source code. Then the software structure is described as a weighted directed graph based on the knowledge of complex network. In addition, the dirty data node is marked by using the power-law distribution characteristics of the scale-free network construction of complex network chart. Finally, we found the dirty data transmission path during software running process. The experimental results show the transmission path of dirty data is accurate, which confirmed the feasibility of the method.",
keywords = "Complex network, Decompilation, Dirty data, Function call",
author = "Zhao, {Xiao Lin} and Gang Hao and Hu, {Chang Zhen} and Li, {Zhi Qiang}",
note = "Publisher Copyright: {\textcopyright} (2014) Trans Tech Publications, Switzerland.; 3rd International Conference on Advanced Engineering Materials and Architecture Science, ICAEMAS 2014 ; Conference date: 26-07-2014 Through 27-07-2014",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.651-653.1741",
language = "English",
series = "Applied Mechanics and Materials",
publisher = "Trans Tech Publications Ltd.",
pages = "1741--1747",
editor = "H.W. Liu and G. Wang and G.W. Zhang",
booktitle = "Material Science, Civil Engineering and Architecture Science, Mechanical Engineering and Manufacturing Technology II",
address = "Switzerland",
}