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

来源：

14TH ISSAT INTERNATIONAL CONFERENCE ON RELIABILITY AND QUALITY IN DESIGN, PROCEEDINGS | 2008年

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

页码：59 / +

页数：2

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