SOFTWARE RELIABILITY PREDICTION USING SPN

被引：0
|
作者：
Abbasabadee, S. [1 ]
Motameni, H. [1 ]
Jahangirvand, H. [2 ]
机构：
[1] Islamic Azad Univ, Sari Branch, Dept Comp Engn, Sari, Iran
[2] Ports & Maritime Org, Amirabad Port Special Econ Zone, Behshahr, Iran
来源：
JOURNAL OF FUNDAMENTAL AND APPLIED SCIENCES | 2016年 / 8卷
关键词：
Reliability; SPN; Markov Chain; Component based-software;
D O I：
10.4314/jfas.v8i3s.149
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Reliability is an important software quality parameter. In this research for computation of software reliability, component reliability model based on SPN would be proposed. An isomorphic markov chain is obtained from component SPN model. A quantitative reliability prediction method is proposed. The component reliability value is calculated according to the transition cumulative probability distribution of markov chain, obtained from the software SPN model. By means of reliability prediction of the whole software, we'll introduce CRMPN. In CRMPN states are component reliability model and transition are marked with components reliability. With this research more complex software could be simplified and reliability of the software could be evaluated effectively. An example is provided for demonstrating the feasibility and applicability of our method.
引用
收藏
页码：956 / 965
页数：10
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