A Relationship Between Software Coverage Metrics and Reliability.
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| Title: | A Relationship Between Software Coverage Metrics and Reliability. |
|---|---|
| Authors: | Veevers, Alan1, Marshall, Adam C.2 |
| Source: | Software Testing: Verification & Reliability. Mar1994, Vol. 4 Issue 1, p3-8. 6p. |
| Subjects: | Computer programmers, Computer software testing, Logarithmic functions, Computer software quality control, Data flow computing, Mutation testing of computer software |
| Abstract: | Software engineers have tacitly assumed that there exists a link between coverage and reliability. An argument is presented which leads to an inverse logarithmic relationship which depends upon the structure of the software and on a parameter called the strength of the coverage metric. The relationship is developed by considering reliability as a function of an idealized coverage metric and then interpreting the result for a range of actual coverage metrics. [ABSTRACT FROM AUTHOR] |
| Copyright of Software Testing: Verification & Reliability is the property of Wiley-Blackwell 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 | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 12805333 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Relationship Between Software Coverage Metrics and Reliability. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Veevers%2C+Alan%22">Veevers, Alan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Marshall%2C+Adam+C%2E%22">Marshall, Adam C.</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Software+Testing%3A+Verification+%26+Reliability%22">Software Testing: Verification & Reliability</searchLink>. Mar1994, Vol. 4 Issue 1, p3-8. 6p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computer+programmers%22">Computer programmers</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+testing%22">Computer software testing</searchLink><br /><searchLink fieldCode="DE" term="%22Logarithmic+functions%22">Logarithmic functions</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+quality+control%22">Computer software quality control</searchLink><br /><searchLink fieldCode="DE" term="%22Data+flow+computing%22">Data flow computing</searchLink><br /><searchLink fieldCode="DE" term="%22Mutation+testing+of+computer+software%22">Mutation testing of computer software</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Software engineers have tacitly assumed that there exists a link between coverage and reliability. An argument is presented which leads to an inverse logarithmic relationship which depends upon the structure of the software and on a parameter called the strength of the coverage metric. The relationship is developed by considering reliability as a function of an idealized coverage metric and then interpreting the result for a range of actual coverage metrics. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Software Testing: Verification & Reliability is the property of Wiley-Blackwell 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=12805333 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/stvr.4370040103 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 3 Subjects: – SubjectFull: Computer programmers Type: general – SubjectFull: Computer software testing Type: general – SubjectFull: Logarithmic functions Type: general – SubjectFull: Computer software quality control Type: general – SubjectFull: Data flow computing Type: general – SubjectFull: Mutation testing of computer software Type: general Titles: – TitleFull: A Relationship Between Software Coverage Metrics and Reliability. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Veevers, Alan – PersonEntity: Name: NameFull: Marshall, Adam C. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar1994 Type: published Y: 1994 Identifiers: – Type: issn-print Value: 09600833 Numbering: – Type: volume Value: 4 – Type: issue Value: 1 Titles: – TitleFull: Software Testing: Verification & Reliability Type: main |
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