Analysis of Incorporating Logistic Testing-Effort Function Into Software Reliability Modeling.
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| Title: | Analysis of Incorporating Logistic Testing-Effort Function Into Software Reliability Modeling. |
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| Authors: | Chin-Yu Huang, Sy-Yen Kuo |
| Source: | IEEE Transactions on Reliability. Sep2002, Vol. 51 Issue 3, p261. 10p. 8 Charts, 13 Graphs. |
| Subjects: | Reliability engineering software, Poisson processes, Software engineering |
| Abstract: | This paper investigates a SRGM (software reliability growth model) based on the NHPP (nonhomogeneous Poisson process) which incorporates a logistic testing-effort function. SRGM proposed in the literature consider the amount of testing-effort spent on software testing which can be depicted as an exponential curve, a Rayleigh curve, or a Weibull curve. However, it might not be appropriate to represent the consumption curve for testing-effort by one of those curves in some software development environments. Therefore, this paper shows that a logistic testing-effort function can be expressed as a software-development/test-effort curve and that it gives a good predictive capability based on real failure-data. Parameters are estimated, and experiments performed on actual test/debug data sets. Results from applications to a real data set are analyzed and compared with other existing models to show that the proposed model predicts better. In addition, an optimal software release policy for this model, based on cost-reliability criteria, is proposed. [ABSTRACT FROM AUTHOR] |
| Copyright of IEEE Transactions on Reliability is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 7476778 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Analysis of Incorporating Logistic Testing-Effort Function Into Software Reliability Modeling. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chin-Yu+Huang%22">Chin-Yu Huang</searchLink><br /><searchLink fieldCode="AR" term="%22Sy-Yen+Kuo%22">Sy-Yen Kuo</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Reliability%22">IEEE Transactions on Reliability</searchLink>. Sep2002, Vol. 51 Issue 3, p261. 10p. 8 Charts, 13 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Reliability+engineering+software%22">Reliability engineering software</searchLink><br /><searchLink fieldCode="DE" term="%22Poisson+processes%22">Poisson processes</searchLink><br /><searchLink fieldCode="DE" term="%22Software+engineering%22">Software engineering</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper investigates a SRGM (software reliability growth model) based on the NHPP (nonhomogeneous Poisson process) which incorporates a logistic testing-effort function. SRGM proposed in the literature consider the amount of testing-effort spent on software testing which can be depicted as an exponential curve, a Rayleigh curve, or a Weibull curve. However, it might not be appropriate to represent the consumption curve for testing-effort by one of those curves in some software development environments. Therefore, this paper shows that a logistic testing-effort function can be expressed as a software-development/test-effort curve and that it gives a good predictive capability based on real failure-data. Parameters are estimated, and experiments performed on actual test/debug data sets. Results from applications to a real data set are analyzed and compared with other existing models to show that the proposed model predicts better. In addition, an optimal software release policy for this model, based on cost-reliability criteria, is proposed. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Transactions on Reliability is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/TR.2002.801847 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 261 Subjects: – SubjectFull: Reliability engineering software Type: general – SubjectFull: Poisson processes Type: general – SubjectFull: Software engineering Type: general Titles: – TitleFull: Analysis of Incorporating Logistic Testing-Effort Function Into Software Reliability Modeling. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chin-Yu Huang – PersonEntity: Name: NameFull: Sy-Yen Kuo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2002 Type: published Y: 2002 Identifiers: – Type: issn-print Value: 00189529 Numbering: – Type: volume Value: 51 – Type: issue Value: 3 Titles: – TitleFull: IEEE Transactions on Reliability Type: main |
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