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首页> 外文期刊>International journal of systems assurance engineering and management >A NHPP based software reliability model and optimal release policy with logistic-exponential test coverage under imperfect debugging
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A NHPP based software reliability model and optimal release policy with logistic-exponential test coverage under imperfect debugging

机译：不完善调试下基于logistic指数测试的基于NHPP的软件可靠性模型和最优发布策略

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摘要

Software reliability models are used to estimate and predict the reliability, number of remaining faults, failure intensity, total software development cost, etc., of a software. Testing coverage is very important for both software developers and customers of software products. Testing converge is a measure that enables software developers to evaluate the quality of tested software and determine how much additional effort is needed to improve the reliability of the software. This paper proposes a software reliability growth model based on a non-homogeneous Poisson process (NHPP) that incorporates a logistic-exponential testing coverage function with imperfect debugging. The proposed model relates the test coverage to fault detection phenomena in debugging. Goodness-of-fit test of the proposed model is conducted using different criteria for two sets of software failure data. The proposed model is compared with other existing NHPP models. A software cost model incorporating testing coverage and an optimal release policy based on the number of remaining faults are developed.
机译：软件可靠性模型用于估计和预测软件的可靠性，剩余故障数，故障强度，总软件开发成本等。测试覆盖范围对于软件开发人员和软件产品客户都非常重要。测试融合是一种使软件开发人员能够评估经过测试的软件的质量，并确定需要多少额外努力才能提高软件可靠性的一种措施。本文提出了一种基于非均匀泊松过程（NHPP）的软件可靠性增长模型，该模型结合了逻辑指数测试覆盖率函数和不完善的调试功能。该模型将测试覆盖率与调试中的故障检测现象相关联。对两组软件故障数据使用不同的标准对所提出的模型进行拟合优度测试。将该模型与其他现有的NHPP模型进行了比较。开发了一种软件成本模型，该模型结合了测试覆盖率和基于剩余故障数的最佳发布策略。

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