Quality Assurance Technical Procedures
Author | : United States. Army. Ordnance Corps |
Publisher | : |
Total Pages | : 390 |
Release | : 1962 |
Genre | : |
ISBN | : |
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Author | : United States. Army. Ordnance Corps |
Publisher | : |
Total Pages | : 390 |
Release | : 1962 |
Genre | : |
ISBN | : |
Author | : United States. Ordnance Corps (Army) |
Publisher | : |
Total Pages | : 388 |
Release | : 1962 |
Genre | : |
ISBN | : |
Author | : Boris Beizer |
Publisher | : Dreamtech Press |
Total Pages | : 572 |
Release | : 2003 |
Genre | : Computer software |
ISBN | : 9788177222609 |
Software Testing Techniques, 2nd Edition is the first book-length work that explicitly addresses the idea that design for testability is as important as testing itself not just by saying that testability is a desirable goal, but by showing the reader how it to do it. Every chapter has testability guidelines that illustrate how the technique discussed in the chapter can be used to make software more easily tested and therefore more reliable and maintainable. Application of all techniques to unit, integration, maintenance, and system testing are discussed throughout this book.As a self-study text, as a classroom text, as a working reference, it is a book that no programmer, independent software tester, software engineer, testing theorist, system designer, or software project manager can be without.
Author | : Agency for Healthcare Research and Quality/AHRQ |
Publisher | : Government Printing Office |
Total Pages | : 385 |
Release | : 2014-04-01 |
Genre | : Medical |
ISBN | : 1587634333 |
This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.
Author | : Donnell R. Christian, Jr. |
Publisher | : CRC Press |
Total Pages | : 1434 |
Release | : 2009-11-24 |
Genre | : Science |
ISBN | : 1420073052 |
In order to gain accreditation, every laboratory must have a superior quality assurance program. The keys to a successful program are the operational and technical manuals and associated documents which define the program and its various components. Written by experts with global experience in setting up laboratories, Implementing Quality in Labora
Author | : Claude Y. Laporte |
Publisher | : John Wiley & Sons |
Total Pages | : 598 |
Release | : 2018-01-04 |
Genre | : Technology & Engineering |
ISBN | : 1118501829 |
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
Author | : Leonid Burstein |
Publisher | : Elsevier |
Total Pages | : 263 |
Release | : 2015-02-12 |
Genre | : Technology & Engineering |
ISBN | : 0857094882 |
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
Author | : Kshirasagar Naik |
Publisher | : John Wiley & Sons |
Total Pages | : 702 |
Release | : 2011-09-23 |
Genre | : Computers |
ISBN | : 1118211634 |
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.
Author | : Alessandro Birolini |
Publisher | : Springer Science & Business Media |
Total Pages | : 538 |
Release | : 2013-03-14 |
Genre | : Technology & Engineering |
ISBN | : 3662029707 |
High reliability, maintainability, and safety are expected from complex equipment and systems. To build these characteristics into an item, failure rate and failure mode analyses have to be performed early in the design phase, starting at the com ponent level, and have to be supported by a set of design guidelines for reliability and maintainability as well as by extensive design reviews. Before production, qualification tests of prototypes must ensure that quality and reliability targets have been reached. In the production phase, processes and procedures have to be selec ted and monitored to assure the required quality level. For many systems, availabi lity requirements must also be satisfied. In these cases, stochastic processes can be used to investigate and optimize availability, including logistical support. This book presents the state of the art of the methods and procedures necessary for a cost and time effective quality and reliability assurance during the design and production of equipment and systems. It takes into consideration that: 1. Quality and reliability assurance of complex equipment and systems requires that all engineers involved in a project undertake a set of specific activities from the definition to the operating phase, which are performed concurrently to achieve the best performance, quality, and reliability for given cost and time schedule targets.
Author | : Emilio L. Cano |
Publisher | : Springer |
Total Pages | : 373 |
Release | : 2015-11-20 |
Genre | : Business & Economics |
ISBN | : 3319240463 |
Presenting a practitioner's guide to capabilities and best practices of quality control systems using the R programming language, this volume emphasizes accessibility and ease-of-use through detailed explanations of R code as well as standard statistical methodologies. In the interest of reaching the widest possible audience of quality-control professionals and statisticians, examples throughout are structured to simplify complex equations and data structures, and to demonstrate their applications to quality control processes, such as ISO standards. The volume balances its treatment of key aspects of quality control, statistics, and programming in R, making the text accessible to beginners and expert quality control professionals alike. Several appendices serve as useful references for ISO standards and common tasks performed while applying quality control with R.