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Quality control

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Software Quality Assurance in Large Scale and Complex Software-intensive Systems presents novel and high-quality research related approaches that relate the quality of software architecture to system requirements, system architecture and enterprise-architecture, or software testing. Modern software has become complex and adaptable due to the emergence of globalization and new software technologies, devices and networks. These changes challenge both traditional software quality assurance techniques and software engineers to ensure software quality when building today (and tomorrow’s) adaptive, context-sensitive, and highly diverse applications. This edited volume presents state of the art techniques, methodologies, tools, best practices and guidelines for software quality assurance and offers guidance for future software engineering research and practice. Each contributed chapter considers the practical application of the topic through case studies, experiments, empirical validation, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited, to: quality attributes of system/software architectures; aligning enterprise, system, and software architecture from the point of view of total quality; design decisions and their influence on the quality of system/software architecture; methods and processes for evaluating architecture quality; quality assessment of legacy systems and third party applications; lessons learned and empirical validation of theories and frameworks on architectural quality; empirical validation and testing for assessing architecture quality. Focused on quality assurance at all levels of software design and development Covers domain-specific software quality assurance issues e.g. for cloud, mobile, security, context-sensitive, mash-up and autonomic systems Explains likely trade-offs from design decisions in the context of complex software system engineering and quality assurance Includes practical case studies of software quality assurance for complex, adaptive and context-critical systems

Computer software --- Quality control.

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Die diesjährige GQW-Tagung steht unter dem Leitthema "Qualitätsmanagement 4.0 - Status Quo! Quo Vadis?" und hat sich zum Ziel gesetzt, den derzeitigen Stand der Entwicklung von Qualitätsmanagement 4.0 aufzuzeigen sowie Potenziale und künftige Herausforderungen von Qualitätsmanagement 4.0 mit Experten aus Wissenschaft und Praxis zu diskutieren. Hierzu werden im Rahmen der Tagung aktuelle Forschungsergebnisse und Lösungsansätze aus unterschiedlichen Bereichen der Qualitätswissenschaften vorgestellt.

Quality control. --- Production management.

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State and local weights and measures jurisdictions or other testing laboratories that use transfer standards developed using the air-oven reference methods (referred to as air-oven reference standards) to test commercial grain moisture meters, collect grains that are typically grown and traded in their State, and transport them to their laboratory for testing. In the laboratory, these grains are cleaned, mixed, and tested for moisture content and weight per bushel. The grains are then divided into smaller grain samples and assigned moisture and weight per bushel reference values. These samples with known reference moisture and weight per bushel values are issued to weights and measures officials to test commercial grain moisture meters in accordance with NIST Handbook 44, Specifications, Tolerances, and Other Technical Requirements for Weighing and Measuring Devices, Section 5.56.(a) Grain Moisture Meters. Commercial grain moisture meters are meters that provide rapid grain moisture content to a buyer. The moisture content of grain is used to determine the amount of money a seller will receive for the grain. For example, if grain moisture content is too high, the buyer must dry the grain before storage, so cost adjustments are made by the buyer to offset the cost for drying. Conversely, if the moisture is too low the grain quality may be affected and cost adjustments may be made for low moisture. This reference manual provides technical guidelines for: (1) laboratory grain sample preparation and testing; and (2) the field evaluation of grain moisture meters, in accordance with NIST Handbook 44, Section 5.56.(a) for field testing using air-oven reference method transfer standards.

Grain --- Quality control. --- Drying.

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The goal of this paper is to understand how quality information characterizing the manufactured parts can be reported in a XML standardized format. The Quality Information Framework (QIF) is an ANSI standard sponsored by the Dimensional Metrology Standards Consortium (DMSC) that defines an integrated set of XML information models to enable the effective exchange of metrology data throughout the entire manufacturing quality measurement process - from product design to inspection planning to execution to analysis and reporting. The desire is that QIF will help foster a pervasive digital thread throughout the product lifecycle contributing to feedforward and feedback flow of quality information. The hope is that widespread adoption of QIF will lead to better and more optimized part design and manufacturing processes performance.

Manufacturing processes. --- Quality control.