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首页> 外文期刊>International journal of software engineering and knowledge engineering >Size and Effort Estimation Based on Problem Domain Measures for Object-Oriented Software
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Size and Effort Estimation Based on Problem Domain Measures for Object-Oriented Software

机译:基于问题域测度的面向对象软件的大小和工作量估计

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摘要

This paper analyzes the correlations between the problem domain measures such as the number of distinct nouns and distinct verbs in the requirements artifacts and the solution domain measures such as the number of software classes and methods in the corresponding object-oriented software. For this purpose, 14 completed software development projects of a CMMI Level-3 certified defense industry company have been analyzed. The observed strong correlation is taken as the indication of linear relationship between the measures and a size estimation model based on linear regression analysis is proposed. Prediction performance of the method is analyzed on the 14 software projects. Moreover, it has been observed that there is a high correlation between the problem domain measures and the development effort. Therefore, the linear regression analysis is also used to estimate the effort in terms of the problem domain measures. The effort estimations are also evaluated and compared with the efforts predicted using the size measured by the COSMIC Function Point (CFP) method. The results show that the proposed method provides more accurate effort estimates compared to the effort estimated by using CFP size measurement.
机译:本文分析了问题域度量(例如需求工件中的不同名词和动词数量)与解决方案域度量(例如相应的面向对象软件中的软件类和方法数量)之间的相关性。为此,已经分析了CMMI 3级认证的国防工业公司的14个已完成的软件开发项目。将观测到的强相关性作为度量之间线性关系的指标,并提出了基于线性回归分析的尺寸估计模型。在14个软件项目上分析了该方法的预测性能。此外,已经观察到,问题域度量与开发工作之间存在高度相关性。因此,线性回归分析还用于根据问题域测度来估算工作量。还估算工作量估算值,并将其与使用通过COSMIC功能点(CFP)方法测量的大小预测的工作量进行比较。结果表明,与使用CFP尺寸测量估算的工作量相比,该方法提供的估算工作量更准确。

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