Software reliability prediction with an improved Elman network model
In order to improve accuracy and dependability of using neural network for software reliability prediction,a multi-objective optimization-based improved Elman recurrent network method（Mop-IElman） was proposed.First,on the basis of the Elman network,a self-delay feedback of the output layer as anothe...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2011-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74418013/ |
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| _version_ | 1841537116754935808 |
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| author | CHENG Xu-chao1 CHEN Xin-yu1 GUO Ping1 |
| author_facet | CHENG Xu-chao1 CHEN Xin-yu1 GUO Ping1 |
| author_sort | CHENG Xu-chao1 |
| collection | DOAJ |
| description | In order to improve accuracy and dependability of using neural network for software reliability prediction,a multi-objective optimization-based improved Elman recurrent network method（Mop-IElman） was proposed.First,on the basis of the Elman network,a self-delay feedback of the output layer as another context layer was designed.Second,the network architecture and the initial outputs of these two context layers were taken as variables of network configuration setting,and NSGA-II was employed to simultaneously optimize prediction performance and robustness,then the Pareto solution was obtained.After that,by maximizing the sum of prediction performance and robustness,the final network configuration setting was determined.Finally,the proposed method was compared with the feed-forward neural network,the Elman network,both the single-objective and the multi-objective optimization Elman networks with respect to two real software failure data.It demonstrated that the proposed Mop-IElman achieves higher prediction accuracy and de-pendability. |
| format | Article |
| id | doaj-art-49b2f8adf653476d984589108a822c7c |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2011-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-49b2f8adf653476d984589108a822c7c2025-01-14T08:45:35ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2011-01-0132869374418013Software reliability prediction with an improved Elman network modelCHENG Xu-chao1CHEN Xin-yu1GUO Ping1In order to improve accuracy and dependability of using neural network for software reliability prediction,a multi-objective optimization-based improved Elman recurrent network method（Mop-IElman） was proposed.First,on the basis of the Elman network,a self-delay feedback of the output layer as another context layer was designed.Second,the network architecture and the initial outputs of these two context layers were taken as variables of network configuration setting,and NSGA-II was employed to simultaneously optimize prediction performance and robustness,then the Pareto solution was obtained.After that,by maximizing the sum of prediction performance and robustness,the final network configuration setting was determined.Finally,the proposed method was compared with the feed-forward neural network,the Elman network,both the single-objective and the multi-objective optimization Elman networks with respect to two real software failure data.It demonstrated that the proposed Mop-IElman achieves higher prediction accuracy and de-pendability.http://www.joconline.com.cn/zh/article/74418013/software reliability predictiondependabilityrecurrent networkNSGA-IImulti-objective optimization |
| spellingShingle | CHENG Xu-chao1 CHEN Xin-yu1 GUO Ping1 Software reliability prediction with an improved Elman network model Tongxin xuebao software reliability prediction dependability recurrent network NSGA-II multi-objective optimization |
| title | Software reliability prediction with an improved Elman network model |
| title_full | Software reliability prediction with an improved Elman network model |
| title_fullStr | Software reliability prediction with an improved Elman network model |
| title_full_unstemmed | Software reliability prediction with an improved Elman network model |
| title_short | Software reliability prediction with an improved Elman network model |
| title_sort | software reliability prediction with an improved elman network model |
| topic | software reliability prediction dependability recurrent network NSGA-II multi-objective optimization |
| url | http://www.joconline.com.cn/zh/article/74418013/ |
| work_keys_str_mv | AT chengxuchao1 softwarereliabilitypredictionwithanimprovedelmannetworkmodel AT chenxinyu1 softwarereliabilitypredictionwithanimprovedelmannetworkmodel AT guoping1 softwarereliabilitypredictionwithanimprovedelmannetworkmodel |