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首页> 外文期刊>The Journal of Systems and Software >Modeling change requests due to faults in a large-scale telecommunication system
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Modeling change requests due to faults in a large-scale telecommunication system

机译：对大型电信系统中由于故障引起的变更请求进行建模

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摘要

It is widely known that a small number of modules in any system are likely to contain the majority of faults. Early identification and consequent attention to such modules may mitigate or prevent many defects. The objective of this study is to use product metrics to build a prediction model of the number of change requests (CRs) that are likely to occur in individual modules during testing. The study first empirically validates eight product metrics, while considering the confounding effects of code size (lines of code). Next, a prediction model of CR outcomes is developed with the validated metrics by utilizing a negative binomial regression that allows over-dispersion. In total, 816 modules written in the Chill programming language were analyzed in a large-scale telecommunication system. There is a positive association between the number of CRs and four product metrics (number of unique operators, unique operands, signals, and library calls) after considering the confounding effect of code size. A prediction model that includes only code size and the number of unique operands provides the best empirical fit.
机译：众所周知，任何系统中的少量模块都可能包含大多数故障。尽早识别并随后注意此类模块可减轻或防止许多缺陷。这项研究的目的是使用产品指标来建立测试模型中各个模块中可能发生的变更请求（CR）数量的预测模型。这项研究首先根据经验验证了八个产品指标，同时考虑了代码大小（代码行）的混杂影响。接下来，通过使用允许过度分散的负二项式回归，使用经过验证的指标来开发CR结果的预测模型。在大型电信系统中，总共分析了用Chill编程语言编写的816个模块。考虑代码大小的混杂影响后，CR的数量与四个乘积指标（唯一运算符，唯一操作数，信号和库调用）之间存在正相关关系。仅包含代码大小和唯一操作数的预测模型可提供最佳的经验拟合。

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