STOCHASTIC DIFFERENTIAL EQUATION MODELING BASED ON COMPONENT IMPORTANCE LEVELS FOR OPEN SOURCE SOFTWARE RELIABILITY ANALYSIS

被引:0
|
作者
Tamura, Yoshinobu [1 ]
Yamada, Shigeru [2 ]
机构
[1] Hiroshima Inst Technol, Fac Appl Informat Sci, Dept Comp Sci, Saeki Ku, Miyake 2-1-1, Hiroshima 7315193, Japan
[2] Tottori Univ, Grad Sch Engn, Dept Management Social Syst & Civil Engn, Tottori 6808552, Japan
关键词
Open source software; Software reliability modeling; Stochastic differential equations;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Network technologies have made rapid progress with the dissemination of computer systems in all areas. These network technologies become increasingly more complex in a wide sphere. Especially, open source software systems which serve as key components of critical infrastructures in the society are still ever-expanding now. In this paper, we propose a new approach to software reliability assessment by creating a fusion of neural network and stochastic differential equations based on component importance levels. Also, we analyze actual software fault-count data to show numerical examples of software reliability assessment considering component importance levels for an open source software.
引用
收藏
页码:59 / +
页数:2
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