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Analysis of Software Quality via a Goal Programming Approach

机译:通过目标编程方法分析软件质量

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Complex software systems often fail because of errors undiscovered in the design stage of the development process. Detecting these errors early in the process would eliminate many downstream problems. The so-called capture-recapture model used by biologists in estimating the size of wildlife populations has also been used to estimate the number of software design errors. However, one simplifying assumption in capture-recapture models is that the inspections performed by various inspectors are statistically independent from each other. In the paper, we propose a novel method that is based on the correlation matrix of multiple inspectors. In a numerical analysis, we show that our method outperforms other traditional models that are based on the independence assumption.
机译:复杂的软件系统通常会由于开发过程的设计阶段中未发现的错误而失败。在过程中及早发现这些错误将消除许多下游问题。生物学家在估计野生动植物种群数量时使用的所谓捕获-捕获模型也已用于估计软件设计错误的数量。但是,捕获-捕获模型中的一个简化假设是,各个检查员执行的检查在统计上是相互独立的。在本文中,我们提出了一种基于多个检查员的相关矩阵的新方法。在数值分析中,我们证明了我们的方法优于基于独立性假设的其他传统模型。

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