1992Unpublished venueOpen access

Concepts of operational software quality metrics

Amos O. Olagunju

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Abstract

Managers and developers of large software systems need a set of operationally defined measures of software quality. This paper presents metrics that are useful for the estimation of an overall software quality and computation of estimated field values such as the field fault density. The newly-developed algorithms can be applied to estimate the quality of a software whose contents change throughout the period of testing. Moreover, the estimation algorithms characterize major and minor software releases separately. The accuracy and reliability of the estimation algorithms are discussed.

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Managers and developers of large software systems need a set of operationally defined measures of software quality. This paper presents metrics that are useful for the estimation of an overall software quality and computation of estimated field values such as the field fault density. The newly-developed algorithms can be applied to estimate the quality of a software whose contents change throughout the period of testing. Moreover, the estimation algorithms characterize major and minor software releases separately. The accuracy and reliability of the estimation algorithms are discussed.

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Available abstract

Managers and developers of large software systems need a set of operationally defined measures of software quality. This paper presents metrics that are useful for the estimation of an overall software quality and computation of estimated field values such as the field fault density. The newly-developed algorithms can be applied to estimate the quality of a software whose contents change throughout the period of testing. Moreover, the estimation algorithms characterize major and minor software releases separately. The accuracy and reliability of the estimation algorithms are discussed.

Key concepts: Software quality, Software metric, Computer science, Software sizing, Reliability engineering, Software reliability testing, Quality (philosophy), Verification and validation

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