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This comprehensive reference on software development quality assurance addresses all four dimensions of quality: specifications, design, construction and conformance. It focuses on quality from both the micro and macro view. From a micro view, it details the aspect of building-in quality at the component level to help ensure that the overall deliverable has ingrained quality. From a macro view, it addresses the organizational level activities that provide an environment conducive to fostering quality in the deliverables as well as developing a culture focused on quality in the organization. Mastering Software Quality Assurance also explores a process driven approach to quality, and provides the information and guidance needed for implementing a process quality model in your organization. It includes best practices and valuable tools and techniques for software developers.Key Features • Provides a comprehensive, inclusive view of software quality • Tackles the four dimensions of quality as applicable to software development organizations • Offers unique insights into achieving quality at the component level • Deals comprehensively with all aspects of measuring software quality • Explores process quality from the standpoint of implementation rather than from the appraiser/assessor point of view • Delivers a bird's eye view of the ISO and CMMI models, and describes necessary steps for attaining conformance to those models
Quality assurance (QA) in open and distance learning (ODL) can be a contentious issue. Some argue that it should be judged by the same criteria and methods as face-to-face education, while others claim that it is so different in its organization, enrolments and operations that conventional QA mechanisms cannot apply. Some advocate the use of specific guidelines and standards for e-learning; others believe that, regardless of the technology, the basic principles of quality teaching and learning should apply. Providers who have enjoyed freedom from external scrutiny may resist attempts at external regulation and auditing and look upon QA as yet another imposition of corporatization and bureaucracy on education. Others see it as a means of establishing a culture of quality, self-reflection and self-improvement. There is little research-based literature to guide policy-makers, managers and practitioners in applying QA in education and training to ensure the right balance is found between accountability and autonomy, as well as assuring quality for the time and costs involved. In this respect, Quality Assurance and Accreditation in Distance Education and e-Learning is a book that is long overdue. It explains what is involved in QA and accreditation in education. It describes and analyzes applications of these practices in open, distance, dual-mode and conventional universities throughout Europe, North America, Africa, and the Asia-Pacific, looking at open schooling, e-learning in conventional schools, non-formal adult and community education, and corporate and small-to-medium enterprises. Quality Assurance and Accreditation in Distance Education and e-Learning is edited and authored by experts with extensive international experience in ODL, e-learning and QA who give careful consideration to the possibilities and challenges involved. The book will be an invaluable guide for all policy-makers, managers, practitioners and researchers in the field.
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
A superior primer on software testing and quality assurance, from integration to execution and automation This important new work fills the pressing need for a user-friendly text that aims to provide software engineers, software quality professionals, software developers, and students with the fundamental developments in testing theory and common testing practices. Software Testing and Quality Assurance: Theory and Practice equips readers with a solid understanding of: Practices that support the production of quality software Software testing techniques Life-cycle models for requirements, defects, test cases, and test results Process models for units, integration, system, and acceptance testing How to build test teams, including recruiting and retaining test engineers Quality Models, Capability Maturity Model, Testing Maturity Model, and Test Process Improvement Model Expertly balancing theory with practice, and complemented with an abundance of pedagogical tools, including test questions, examples, teaching suggestions, and chapter summaries, this book is a valuable, self-contained tool for professionals and an ideal introductory text for courses in software testing, quality assurance, and software engineering.
MATLAB® in Quality Assurance Sciences fills a gap in the highly topical field of quality assurance (QA). It is a compact guide for students, engineers, and scientists in this field. It concentrates on MATLAB® fundamentals with examples of application to a wide range of current problems from general, nano and bio-technology, and statistical control, to medicine and industrial management. Examples cover both the school and advanced level; comprising calculations of total quality management, six sigma, time series, process improvement, metrology, quality control, human factors in quality assurance, measurement and testing techniques, quality project and function management, and customer satisfaction. This book covers key topics, including: the basics of software with examples; graphics and representations; numerical computation, scripts and functions for QA calculations; ODE and PDEPE solvers applied to QA problems; curve fitting and time series tool interfaces in calculations of quality; and statistics calculations applied to quality testing. Includes MATLAB® fundamentals, matrices, arrays, general graphics and specialized plots in quality assurance problems, script files, ordinary and partial differential equations Gives calculation of six sigma, total quality management, time series forecasting, reliability, process improvement, metrology, quality control and assurance, measurement and testing techniques Provides tools for graphical presentation, basic and special statistics and testing, ordinary and partial differential solvers, and fitting tools
Howes, MPH, CIP, Jennifer Hutchinson, CIP, CPIA, Cynthia Monahan, MBA, CIP, Eunice Newbert, MPH, Sarah A. White, MPH, CIP, Elizabeth Witte, MFA
An essential resource for institutional leaders across the Middle East, as well as those invested in the development of higher education in the region, this volume acts as a unique contribution for propelling the progress of higher education in the Middle East.