Quality assurance (QA) is a way of preventing mistakes and defects in manufactured products and avoiding problems when delivering products or services to customers; which ISO 9000 defines as "part of quality management focused on providing confidence that quality requirements will be fulfilled".[1] This defect prevention in quality assurance differs subtly from defect detection and rejection in quality control and has been referred to as a shift left since it focuses on quality earlier in the process (i.e., to the left of a linear process diagram reading left to right)
Quality assurance (QA) is any systematic process of determining whether a product or service meets specified requirements.
QA establishes and maintains set requirements for developing or manufacturing reliable products. A quality assurance system is meant to increase customer confidence and a company's credibility, while also improving work processes and efficiency, and it enables a company to better compete with others.
Source: https://searchsoftwarequality.techtarget.com/definition/quality-assurance
Software quality assurance (SQA) is a means of monitoring the software engineering processes and methods used in a project to ensure proper quality.[1]:10-5 This is accomplished by many and varied approaches. It may include ensuring conformance to standards or models
Source: https://en.wikipedia.org/wiki/Software_quality_assurance
Quality assurance (QA) and quality control (QC) are two terms that are often used interchangeably. Although similar, there are distinct differences between the two concepts. This page will explain the differences between quality control and quality management, and provide definitions and examples of each.
Source: https://asq.org/quality-resources/quality-assurance-vs-control
"The Old Seven." "The First Seven." "The Basic Seven."
Quality pros have many names for these seven basic tools of quality, first emphasized by Kaoru Ishikawa, a professor of engineering at Tokyo University and the father of "quality circles." Start your quality journey by mastering these tools, and you'll have a name for them too: indispensable.
Cause-and-effect diagram (also called Ishikawa or fishbone diagrams): Identifies many possible causes for an effect or problem and sorts ideas into useful categories.
Check sheet: A structured, prepared form for collecting and analyzing data; a generic tool that can be adapted for a wide variety of purposes.
Control chart: Graph used to study how a process changes over time. Comparing current data to historical control limits leads to conclusions about whether the process variation is consistent (in control) or is unpredictable (out of control, affected by special causes of variation).
Histogram: The most commonly used graph for showing frequency distributions, or how often each different value in a set of data occurs.
Pareto chart: A bar graph that shows which factors are more significant.
Scatter diagram: Graphs pairs of numerical data, one variable on each axis, to look for a relationship.
Stratification: A technique that separates data gathered from a variety of sources so that patterns can be seen (some lists replace stratification with flowchart or run chart).
Source: https://asq.org/quality-resources/seven-basic-quality-tools
A list of 13 of the best (and most popular) quality management tools that you should use. They consist of the 7 foundational quality management tools, plus 6 more that are good to have in the toolbox.
Source: https://www.educational-business-articles.com/quality-management-tools/