UID:
almahu_9948621156702882
Umfang:
X, 126 p. 127 illus.
,
online resource.
Ausgabe:
1st ed. 2002.
ISBN:
9781447101178
Serie:
Practitioner Series,
Inhalt:
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.
Anmerkung:
1. Motivating Software Quality Meaurement -- 1.1 Software Measurement: Why, What, How and When -- 1.2 Frequent and Hidden Pitfalls -- 1.3 The Rationale of an Holistic Approach -- 1.4 Background Efforts Contributing to the Book Content -- 1.5 Purpose and Scope of the Book -- 2. Foundations for a Comprehensive Approach to Software Quality Assessment -- 2.1 Establishing a Quality Focus -- 2.2 The Objectives/Principles/Attributes (OPA) Framework -- 2.3 Software Quality Indicators -- 2.4 Influences of the Process Model -- 2.5 Establishing Measurement Goals: Assessment or Prediction -- 3. An OPA Measurement Program -- 3.1 Accommodating the Organizational Process Model -- 3.2 Measurement Program Responsibilities -- 3.3 Derivation of Software Quality Indicators -- 3.4 Interpretation of SQI Results -- 3.5 Decisions and Actions -- 4. Process Measurement -- 4.1 The Inherent Difficulty of Process Measurement -- 4.2 Indicator Derivation and Distinctions -- 4.3 Interpretation, Decisions and Actions -- 5. Product Measurement: Documentation -- 5.1 Motivation and Distinctions -- 5.2 The Characteristics of High Quality in Documentation -- 5.3 Measurement Approaches -- 5.4 Interpretation, Decisions and Actions -- 6. Product Measurement: Code -- 6.1 Indicator Distinction and Derivation -- 6.2 Attributes of Code Quality -- 6.3 Automated Collection of Code Indicators -- 6.4 Interpretation, Decisions and Actions -- 7. An Examination of Indicator Values and Their Aggregation -- 7.1 Using and Interpreting Indicator Values -- 7.2 Integrating Code, Documentation and Process Quality Indicators in a Software Quality Measurement Program -- 8. Prediction and Assessment: Differences in Goals -- 8.1 Effects of Process Models -- 8.2 Software Reuse -- 8.3 Sustaining Responsibilities and Quality Measurement -- 8.4 The Quality Database and Validity of Indicators -- 9. Software Quality: Views and Purviews -- 9.1 Software Quality: Holy Grail or Eternal Enigma? -- 9.2 What is "Quality"? -- 9.3 What about Software? -- 9.4 The Evolving Views of Software Quality -- 9.5 Software Quality: A Standard View -- References.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9781852333935
Weitere Ausg.:
Printed edition: ISBN 9781447101185
Sprache:
Englisch
DOI:
10.1007/978-1-4471-0117-8
URL:
https://doi.org/10.1007/978-1-4471-0117-8
