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
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;
Conference_Titel :
Information Science and Applications (ICISA), 2013 International Conference on
Conference_Location :
Suwon
Print_ISBN :
978-1-4799-0602-4
DOI :
10.1109/ICISA.2013.6579477