Prediction of Software Reliability: A Comparison between Regression and Neural Network Non-Parametric Models

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ACS/IEEE International Conference on Computer Systems and Applications (AICCSA'01)

Beirut, Lebanon

June 25-June 29

ISBN: 0-7695-1165-1

	ASCII Text	x
	Sultan H. Aljahdali, David Rine, Alaa Sheta, "Prediction of Software Reliability: A Comparison between Regression and Neural Network Non-Parametric Models," Computer Systems and Applications, ACS/IEEE International Conference on, pp. 0470, ACS/IEEE International Conference on Computer Systems and Applications (AICCSA'01), 2001.

	BibTex	x
	@article{ 10.1109/AICCSA.2001.934046, author = {Sultan H. Aljahdali and David Rine and Alaa Sheta}, title = {Prediction of Software Reliability: A Comparison between Regression and Neural Network Non-Parametric Models}, journal ={Computer Systems and Applications, ACS/IEEE International Conference on}, volume = {0}, year = {2001}, isbn = {0-7695-1165-1}, pages = {0470}, doi = {http://doi.ieeecomputersociety.org/10.1109/AICCSA.2001.934046}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Systems and Applications, ACS/IEEE International Conference on TI - Prediction of Software Reliability: A Comparison between Regression and Neural Network Non-Parametric Models SN - 0-7695-1165-1 SP EP A1 - Sultan H. Aljahdali, A1 - David Rine, A1 - Alaa Sheta, PY - 2001 VL - 0 JA - Computer Systems and Applications, ACS/IEEE International Conference on ER -

Sultan H. Aljahdali, George Mason University

David Rine, George Mason University

Alaa Sheta, Electronics Research Institute, Cairo

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AICCSA.2001.934046

Abstract: In this paper neural networks have been proposed as an alternative technique to build software reliability growth models. A feed-forward neural network was used to predict the number of faults initially resident in a program at the beginning of a test/debug process. To evaluate the predictive capability of the developed model data sets from various projects w ere used [1]. A comparison between regression parametric models and neural network models is provided.

Citation:

Sultan H. Aljahdali, David Rine, Alaa Sheta, "Prediction of Software Reliability: A Comparison between Regression and Neural Network Non-Parametric Models," aiccsa, pp.0470, ACS/IEEE International Conference on Computer Systems and Applications (AICCSA'01), 2001

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