Selection of Failure Data in Software Reliability Modeling Based on RVM
The high complexity of software is the major contributing factor of software reliability problems, and traditional parametric models may exhibit different predictive capabilities among different software projects, it is hard to select a suitable model for every software projects. Compared to traditi...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2015-09-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015192/ |
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| _version_ | 1841529629242818560 |
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| author | Xiaoming Yang Jungang Lou Zhangguo Shen Wenjun Hu |
| author_facet | Xiaoming Yang Jungang Lou Zhangguo Shen Wenjun Hu |
| author_sort | Xiaoming Yang |
| collection | DOAJ |
| description | The high complexity of software is the major contributing factor of software reliability problems, and traditional parametric models may exhibit different predictive capabilities among different software projects, it is hard to select a suitable model for every software projects. Compared to traditional models, kernel based models could achieve better prediction accuracy, and had arouse the interesting of many researchers. The RVM learning scheme was applied to model the failure time data so as to capture the inner correlation between software failure time data and the m nearest failure time data. In addition, the trend of predictive accuracy with the varying of m was detected by way of Mann-Kendall test method. Thereupon, the reasonable value range of m was achieved,thus m∈｛6,7,8,9,10｝ through paired T-test in 5 common used software failure data. |
| format | Article |
| id | doaj-art-96c6959c88544f63bd95899863464dbf |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2015-09-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-96c6959c88544f63bd95899863464dbf2025-01-15T03:16:38ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012015-09-0131909659613637Selection of Failure Data in Software Reliability Modeling Based on RVMXiaoming YangJungang LouZhangguo ShenWenjun HuThe high complexity of software is the major contributing factor of software reliability problems, and traditional parametric models may exhibit different predictive capabilities among different software projects, it is hard to select a suitable model for every software projects. Compared to traditional models, kernel based models could achieve better prediction accuracy, and had arouse the interesting of many researchers. The RVM learning scheme was applied to model the failure time data so as to capture the inner correlation between software failure time data and the m nearest failure time data. In addition, the trend of predictive accuracy with the varying of m was detected by way of Mann-Kendall test method. Thereupon, the reasonable value range of m was achieved,thus m∈｛6,7,8,9,10｝ through paired T-test in 5 common used software failure data.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015192/software reliability predicting modelrelevance vector machinekernel functionsoftware failure dataMann-Kendall test |
| spellingShingle | Xiaoming Yang Jungang Lou Zhangguo Shen Wenjun Hu Selection of Failure Data in Software Reliability Modeling Based on RVM Dianxin kexue software reliability predicting model relevance vector machine kernel function software failure data Mann-Kendall test |
| title | Selection of Failure Data in Software Reliability Modeling Based on RVM |
| title_full | Selection of Failure Data in Software Reliability Modeling Based on RVM |
| title_fullStr | Selection of Failure Data in Software Reliability Modeling Based on RVM |
| title_full_unstemmed | Selection of Failure Data in Software Reliability Modeling Based on RVM |
| title_short | Selection of Failure Data in Software Reliability Modeling Based on RVM |
| title_sort | selection of failure data in software reliability modeling based on rvm |
| topic | software reliability predicting model relevance vector machine kernel function software failure data Mann-Kendall test |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015192/ |
| work_keys_str_mv | AT xiaomingyang selectionoffailuredatainsoftwarereliabilitymodelingbasedonrvm AT junganglou selectionoffailuredatainsoftwarereliabilitymodelingbasedonrvm AT zhangguoshen selectionoffailuredatainsoftwarereliabilitymodelingbasedonrvm AT wenjunhu selectionoffailuredatainsoftwarereliabilitymodelingbasedonrvm |