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