Mutation testing framework for software reliability model analysis and reliability estimation

A. Dimov, S. Chandran, S. Punnekkat, A. Nasir, N. Azam
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引用次数: 4

Abstract

After several years of research, even today estimation of software reliability is extremely challenging. The non-deterministic nature of the factors that contribute to the reliability estimation has led to the development of numerous statistical models for this purpose. One of the important factors that contribute to software reliability is testing and the aim of this paper is to present an approach on how mutation testing could be used to find “the true” reliability of a system. For this purpose it provides a framework to create a software failure dataset, which could be used to find the uncertainty bounds associated with testing and for measurement of different factors that influence uncertainty in reliability estimation, such as test coverage, time between failures and code coverage. The approach is experimented with an open source search tool.
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用于软件可靠性模型分析和可靠性估计的突变测试框架
经过几年的研究,即使在今天,软件可靠性的评估也是极具挑战性的。影响可靠性估计的因素的不确定性导致为此目的开发了许多统计模型。影响软件可靠性的重要因素之一是测试,本文的目的是提出一种方法,说明如何使用突变测试来发现系统的“真实”可靠性。为此目的,它提供了一个框架来创建软件故障数据集,该数据集可用于查找与测试相关的不确定性界限,并用于测量影响可靠性评估中不确定性的不同因素,例如测试覆盖率、故障间隔时间和代码覆盖率。该方法在一个开源搜索工具上进行了实验。
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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