Application of Artificial Neural Network for Predicting Maintainability using Object-Oriented Metrics

被引：0
|
作者：
Aggarwal, K. K. [1 ]
Singh, Yogesh [1 ]
Kaur, Arvinder [1 ]
Malhotra, Ruchika [1 ]
机构：
[1] GGS Indraprastha Univ, Delhi, India
来源：
PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 15 | 2006年 / 15卷
关键词：
Software quality; Measurement; Metrics; Artificial neural network; Coupling; Cohesion; Inheritance; Principal component analysis;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Importance of software quality is increasing leading to development of new sophisticated techniques, which can be used in constructing models for predicting quality attributes. One such technique is Artificial Neural Network (ANN). This paper examined the application of ANN for software quality prediction using Object-Oriented (00) metrics. Quality estimation includes estimating maintainability of software. The dependent variable in our study was maintenance effort. The independent variables were principal components of eight 00 metrics. The results showed that the Mean Absolute Relative Error (MARE) was 0.265 of ANN model. Thus we found that ANN method was useful in constructing software quality model.
引用
收藏
页码：285 / 289
页数：5
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