Managing Software Quality von Richard E. Nance | A Measurement Framework for Assessment and Prediction | ISBN 9781447101178

Managing Software Quality

A Measurement Framework for Assessment and Prediction

von Richard E. Nance und James D. Arthur
Mitwirkende
Autor / AutorinRichard E. Nance
Autor / AutorinJames D. Arthur
Buchcover Managing Software Quality | Richard E. Nance | EAN 9781447101178 | ISBN 1-4471-0117-0 | ISBN 978-1-4471-0117-8

From the reviews:

"This is one of the few books in this area that addresses the 'quality' aspect based upon the important aspect of documentation. In addition, the book provides a basis for not only the software manager concerned with measurement implementation, but also the researcher in identifying the current state of the art and practice. This will be a key reference guide for anyone that is concerned with developing quality software.„ (William H Farr, PhD, Naval Surface Warfare Center Dahlgren Division)

“A thought provoking starter for a metrics professional with time to develop theory into practice. … good suggestions are made on typical things to measure. The code and test phases are well covered with extensive examples of metrics. The cost of the book is a small price to pay for the ideas it contains for a serious metrics practitioner, and it should provide some ideas for anyone involved in the measurement aspects of ISO 9001:2000." (Brian Peaker, British Computer Society, January, 2003)

Managing Software Quality

A Measurement Framework for Assessment and Prediction

von Richard E. Nance und James D. Arthur
Mitwirkende
Autor / AutorinRichard E. Nance
Autor / AutorinJames D. Arthur
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.