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Software quality assurance; Software requirements specification; Software configuration management; Software design description; Software test documentation; Software verification and validation; Software user documentation; Software reviews and audit
product certifications (many nations) Product certification or product qualification is the process of certifying that a certain product has passed performance tests and quality assurance tests, and meets qualification criteria stipulated in contracts, regulations, or specifications (sometimes called "certification schemes" in the product certification industry).
QA/QC is the combination of quality assurance, the process or set of processes used to measure and assure the quality of a product, and quality control, the process of ensuring products and services meet consumer expectations.
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.
Quality management software centralizes the storage of these documents. Regulatory compliance: To decrease compliance risks, quality management software is used within companies to make sure they comply with ISO, OSHA, FDA, and other industry norms and requirements. The software makes closed-loop corrective and preventive action procedures ...
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 ...
The quality control team tests and reviews software at its various stages to ensure quality assurance processes and standards at both the organizational and project level are being followed. [1] [2] (Some like Sommerville link these responsibilities to quality assurance rather than call it quality control. [3]) These checks are optimally ...
Data quality assurance is the process of data profiling to discover inconsistencies and other anomalies in the data, as well as performing data cleansing [17] [18] activities (e.g. removing outliers, missing data interpolation) to improve the data quality.
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