@article{(Open Science Index):https://publications.waset.org/pdf/3096,
	  title     = {Application of Artificial Neural Network for Predicting Maintainability Using Object-Oriented Metrics},
	  author    = {K. K. Aggarwal and  Yogesh Singh and  Arvinder Kaur and  Ruchika Malhotra},
	  country	= {},
	  institution	= {},
	  abstract     = {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 (OO) 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 OO 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.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {2},
	  number    = {10},
	  year      = {2008},
	  pages     = {3552 - 3556},
	  ee        = {https://publications.waset.org/pdf/3096},
	  url   	= {https://publications.waset.org/vol/22},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 22, 2008},
	}