Managing Software Quality: A Measurement Framework for Assessment and Prediction

✍ Scribed by Richard E. Nance BSc, MSc, PhD, James D. Arthur BSc, MA, MSc, PhD (auth.)

• Publisher: Springer-Verlag London
• Year: 2002
• Tongue: English
• Leaves: 129
• Series: Practitioner Series
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-x
Motivating Software Quality Measurement....Pages 1-12
Foundations for a Comprehensive Approach to Software Quality Assessment....Pages 13-25
An OPA Measurement Program....Pages 27-36
Process Measurement....Pages 37-52
Product Measurement: Documentation....Pages 53-63
Product Measurement: Code....Pages 65-87
An Examination of Indicator Values and Their Aggregation....Pages 89-92
Prediction and Assessment: Differences in Goals....Pages 93-101
Software Quality: Views and Purviews....Pages 103-111
Back Matter....Pages 113-125

✦ Subjects

Software Engineering; Models and Principles; Computer System Implementation; System Performance and Evaluation