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Managing Software Quality

Über Managing Software Quality

This is one of the shorter books in the 21 volume Practitioner Book Series, but this is entirely appropriate for a text on the ubiquitous topic of Quality. The book is written in a concise, precise no-nonsense style by two interna­ tional authors. They are supported in their approach by relevant personal practical experience and by peer-review of other researchers obtained whilst disseminating their research in the academic literature. The authors base their book around their Objective/Principles/ Attributes (OPA) Framework, developed in the first place for assessment and prediction of software quality. After OPA was developed as a procedure for evaluating software development methodologies, it was expanded to include software quality measurement with the inclusion of statistical indicators and a systematic basis for deriving them. The OPA is an holistic approach to soft­ ware quality and prediction. The approach has been validated through experience gained on a 4-year on-site project, which has also led to improve­ ments to the framework.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9781852333935
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 136
  • Veröffentlicht:
  • 22. März 2002
  • Abmessungen:
  • 191x8x235 mm.
  • Gewicht:
  • 269 g.
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Beschreibung von Managing Software Quality

This is one of the shorter books in the 21 volume Practitioner Book Series, but this is entirely appropriate for a text on the ubiquitous topic of Quality. The book is written in a concise, precise no-nonsense style by two interna­ tional authors. They are supported in their approach by relevant personal practical experience and by peer-review of other researchers obtained whilst disseminating their research in the academic literature. The authors base their book around their Objective/Principles/ Attributes (OPA) Framework, developed in the first place for assessment and prediction of software quality. After OPA was developed as a procedure for evaluating software development methodologies, it was expanded to include software quality measurement with the inclusion of statistical indicators and a systematic basis for deriving them. The OPA is an holistic approach to soft­ ware quality and prediction. The approach has been validated through experience gained on a 4-year on-site project, which has also led to improve­ ments to the framework.

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