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Estimation and prediction metrics for adaptive maintenance effortof object-oriented systems

机译:面向对象系统的自适应维护工作量的估计和预测指标

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摘要

Many software systems built in recent years have been developednusing object-oriented technology and, in some cases, they already neednadaptive maintenance in order to satisfy market and customer needs. Innmost cases, the estimation and prediction of maintenance effort isnperformed with difficulty due to the lack of metrics and suitablenmodels. In this paper, a model and metrics for estimation/prediction ofnadaptive maintenance effort are presented and compared with some othernsolutions taken from the literature. The model proposed can be used as angeneral approach for adopting well-known metrics (typically used for thenestimation of development effort) for the estimation/prediction ofnadaptive maintenance effort. The model and metrics proposed have beennvalidated against real data by using multilinear regression analysis.nThe validation has shown that several well-known metrics can benprofitably employed for the estimation/prediction of maintenance effort
机译:近年来构建的许多软件系统都是使用面向对象技术开发的,在某些情况下,它们已经需要进行自适应维护才能满足市场和客户的需求。在大多数情况下,由于缺乏度量标准和合适的模型,很难对维护工作量进行估计和预测。本文提出了一种适应性维护工作量估计/预测的模型和指标,并与文献中的其他解决方案进行了比较。提出的模型可以用作采用众所周知的度量标准(通常用于开发工作量的估算)进行适应性维护工作量的估计/预测的一般方法。通过使用多线性回归分析,针对实际数据验证了所提出的模型和指标。n验证表明,可以将几种众所周知的指标有益地用于维护工作量的估计/预测

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