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Sometimes, functional testing is a quality assurance (QA) process. [3] Functional testing differs from acceptance testing. Functional testing verifies a program by checking it against design document(s) or specification(s), while acceptance testing validates a program by checking it against the published user or system requirements. [4]
Within systems engineering, quality attributes are realized non-functional requirements used to evaluate the performance of a system. These are sometimes named architecture characteristics, or "ilities" after the suffix many of the words share.
A mill test report (MTR) and often also called a certified mill test report, certified material test report, mill test certificate (MTC), inspection certificate, certificate of test, or a host of other names, is a quality assurance document used in the metals industry that certifies a material's chemical and physical properties and states a product made of metal (steel, aluminum, brass or ...
The terms "quality assurance" and "quality control" are often used interchangeably to refer to ways of ensuring the quality of a service or product. [3] For instance, the term "assurance" is often used in a context such as: Implementation of inspection and structured testing as a measure of quality assurance in a television set software project ...
A check sheet is a form (document) used to collect data in real time at the location where the data is generated. The data it captures can be quantitative or qualitative.When the information is quantitative, the check sheet is sometimes called a tally sheet.
Quality management ensures that an organization, product or service consistently functions as intended. It has four main components: quality planning, quality assurance, quality control, and quality improvement. [1] Customers recognize that quality is an important attribute when choosing and purchasing products and services.
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An example of a Levey–Jennings chart with upper and lower limits of one and two times the standard deviation. A Levey–Jennings chart is a graph that quality control data is plotted on to give a visual indication whether a laboratory test is working well. The distance from the mean is measured in standard deviations.