DocumentCode :
2894415
Title :
Analysis of Application System Using Neural Network Modeling
Author :
Kapsu Kim ; Myunghui Hong
Author_Institution :
Dept. of Comput. Educ., Seoul Nat. Univ. of Educ., Seoul, South Korea
fYear :
2013
fDate :
24-26 June 2013
Firstpage :
1
Lastpage :
2
Abstract :
Until now, a lot of software reliability models have been developed. These models are based on the frequency of occurrence of errors during the test. It is necessary to predict software reliability based on a variety of software metrics. We propose application system reliability analysis method based on software metrics and neural network models. The metrics are applied to the neural network model to determine the reliability of the software.
Keywords :
neural nets; program diagnostics; program testing; software metrics; software reliability; application system analysis; error occurrence frequency; neural network modeling; software metrics; software reliability determination; software reliability models; software reliability prediction; system reliability analysis method; Biological neural networks; Neurons; Object oriented modeling; Software; Software metrics; Software reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Applications (ICISA), 2013 International Conference on
Conference_Location :
Suwon
Print_ISBN :
978-1-4799-0602-4
Type :
conf
DOI :
10.1109/ICISA.2013.6579477
Filename :
6579477
Link To Document :
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