Managing Software Quality
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Handbook of Software Quality Assurance
Author: G. Gordon Schulmeyer
language: en
Publisher: Van Nostrand Reinhold Company
Release Date: 1992
Top experts offer the latest on software development and quality in this updated bestseller. It includes a method for achieving Zero Defect software, the latest CASE tools for SQA, a survey of metrics used to understand the quality of software being developed, DID standards for SQA, uses of IEEE reliability documents, and coverage of internal, independent verification and validation. 75 illustrations.
Software Quality Assurance
Author: Claude Y. Laporte
language: en
Publisher: John Wiley & Sons
Release Date: 2018-01-04
This book introduces Software Quality Assurance (SQA) and provides an overview of standards used to implement SQA. It defines ways to assess the effectiveness of how one approaches software quality across key industry sectors such as telecommunications, transport, defense, and aerospace. Includes supplementary website with an instructor’s guide and solutions Applies IEEE software standards as well as the Capability Maturity Model Integration for Development (CMMI) Illustrates the application of software quality assurance practices through the use of practical examples, quotes from experts, and tips from the authors
Managing Software Quality
Author: Richard E. Nance
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
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.