Taxonomy of intelligence software reliability model

Saeed Ahmadluei
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引用次数: 1

Abstract

The probability of failure free software operation for a specified period of time in a specified environment is called Reliability, it is one of the attributes of software quality and study about it come back to 1384. Exposition and spreading of new software systems and profound effect of it to human life emphasize the importance of software reliability analysis, until it poses formal definition at 1975. First race of reliability analysis methods that we called classic methods has stochastic process approach and in this way, attempt to predict the software behavior in future. Due to the ambiguity in fruitfulness of these solutions the challenge about reliability analysis continued till now. Great tendency in applying intelligence systems at variety of applications can be seen at 90 decade, and software reliability attracts some research direction to itself. Until now variety of methods in reliability analysis on the base of intelligence systems approach exhibited. In this survey the taxonomy of these methods represented with brief description of each one. Also comparison between these methods can be seen at the end of survey.
智能软件可靠性模型的分类
软件在规定的环境下在规定的时间内无故障运行的概率被称为可靠性,它是软件质量的属性之一,对它的研究可以追溯到1384年。新软件系统的出现和传播及其对人类生活的深远影响强调了软件可靠性分析的重要性,直到1975年才有了正式的定义。第一类可靠性分析方法,我们称之为经典方法,采用随机过程方法,试图预测软件未来的行为。由于这些方法结果的模糊性,对可靠性分析的挑战一直持续到现在。90年代以来,智能系统应用于各种应用领域的大趋势可以看出,软件可靠性本身也吸引了一些研究方向。目前,基于智能系统方法的可靠性分析方法多种多样。本文对这些方法进行了分类,并对每一种方法进行了简要说明。在调查的最后可以看到这些方法之间的比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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