A Testing Coverage Model Based on NHPP Software Reliability Considering the Software Operating Environment and the Sensitivity Analysis
We have been attempting to evaluate software quality and improve its reliability. Therefore, research on a software reliability model was part of the effort. Currently, software is used in various fields and environments; hence, one must provide quantitative confidence standards when using software....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-05-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/7/5/450 |
| _version_ | 1829486377865052160 |
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| author | Kwang Yoon Song In Hong Chang Hoang Pham |
| author_facet | Kwang Yoon Song In Hong Chang Hoang Pham |
| author_sort | Kwang Yoon Song |
| collection | DOAJ |
| description | We have been attempting to evaluate software quality and improve its reliability. Therefore, research on a software reliability model was part of the effort. Currently, software is used in various fields and environments; hence, one must provide quantitative confidence standards when using software. Therefore, we consider the testing coverage and uncertainty or randomness of an operating environment. In this paper, we propose a new testing coverage model based on NHPP software reliability with the uncertainty of operating environments, and we provide a sensitivity analysis to study the impact of each parameter of the proposed model. We examine the goodness-of-fit of a new testing coverage model based on NHPP software reliability and other existing models based on two datasets. The comparative results for the goodness-of-fit show that the proposed model does significantly better than the existing models. In addition, the results for the sensitivity analysis show that the parameters of the proposed model affect the mean value function. |
| first_indexed | 2024-12-14T23:04:59Z |
| format | Article |
| id | doaj.art-3f7ae763638443b1b31bfdb68e746ab6 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-12-14T23:04:59Z |
| publishDate | 2019-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-3f7ae763638443b1b31bfdb68e746ab62022-12-21T22:44:21ZengMDPI AGMathematics2227-73902019-05-017545010.3390/math7050450math7050450A Testing Coverage Model Based on NHPP Software Reliability Considering the Software Operating Environment and the Sensitivity AnalysisKwang Yoon Song0In Hong Chang1Hoang Pham2Department of Industrial and Systems Engineering, Rutgers University, 96 Frelinghuysen Road, Piscataway, NJ 08855, USADepartment of Computer Science and Statistics, Chosun University, 309 Pilmun-daero Dong-gu, Gwangju 61452, KoreaDepartment of Industrial and Systems Engineering, Rutgers University, 96 Frelinghuysen Road, Piscataway, NJ 08855, USAWe have been attempting to evaluate software quality and improve its reliability. Therefore, research on a software reliability model was part of the effort. Currently, software is used in various fields and environments; hence, one must provide quantitative confidence standards when using software. Therefore, we consider the testing coverage and uncertainty or randomness of an operating environment. In this paper, we propose a new testing coverage model based on NHPP software reliability with the uncertainty of operating environments, and we provide a sensitivity analysis to study the impact of each parameter of the proposed model. We examine the goodness-of-fit of a new testing coverage model based on NHPP software reliability and other existing models based on two datasets. The comparative results for the goodness-of-fit show that the proposed model does significantly better than the existing models. In addition, the results for the sensitivity analysis show that the parameters of the proposed model affect the mean value function.https://www.mdpi.com/2227-7390/7/5/450coverage testdifferential equationsoftware reliabilitynon-homogeneous Poisson processsensitivity |
| spellingShingle | Kwang Yoon Song In Hong Chang Hoang Pham A Testing Coverage Model Based on NHPP Software Reliability Considering the Software Operating Environment and the Sensitivity Analysis Mathematics coverage test differential equation software reliability non-homogeneous Poisson process sensitivity |
| title | A Testing Coverage Model Based on NHPP Software Reliability Considering the Software Operating Environment and the Sensitivity Analysis |
| title_full | A Testing Coverage Model Based on NHPP Software Reliability Considering the Software Operating Environment and the Sensitivity Analysis |
| title_fullStr | A Testing Coverage Model Based on NHPP Software Reliability Considering the Software Operating Environment and the Sensitivity Analysis |
| title_full_unstemmed | A Testing Coverage Model Based on NHPP Software Reliability Considering the Software Operating Environment and the Sensitivity Analysis |
| title_short | A Testing Coverage Model Based on NHPP Software Reliability Considering the Software Operating Environment and the Sensitivity Analysis |
| title_sort | testing coverage model based on nhpp software reliability considering the software operating environment and the sensitivity analysis |
| topic | coverage test differential equation software reliability non-homogeneous Poisson process sensitivity |
| url | https://www.mdpi.com/2227-7390/7/5/450 |
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