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Quality assurance. Quality assurance (QA) is the term used in both manufacturing and service industries to describe the systematic efforts taken to assure that the product (s) delivered to customer (s) meet with the contractual and other agreed upon performance, design, reliability, and maintainability expectations of that customer.
Software testing can provide objective, independent information about the quality of software and the risk of its failure to a user or sponsor. [1] Software testing can determine the correctness of software for specific scenarios, but cannot determine correctness for all scenarios. [2] [3] It cannot find all bugs.
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]
Software quality also often gets mixed-up with Quality Assurance or Problem Resolution Management [57] or Quality Control [58] or DevOps. It does over-lap with before mentioned areas (see also PMI definitions), but is distinctive as it does not solely focus on testing but also on processes, management, improvements, assessments, etc. [58]
Software quality assurance. Software quality assurance (SQA) is a means and practice of monitoring all software engineering processes, methods, and work products to ensure compliance against defined standards. [1] It may include ensuring conformance to standards or models, such as ISO/IEC 9126 (now superseded by ISO 25010), SPICE or CMMI.
Verification is intended to check that a product, service, or system meets a set of design specifications. [6] [7] In the development phase, verification procedures involve performing special tests to model or simulate a portion, or the entirety, of a product, service, or system, then performing a review or analysis of the modeling results.
Quality engineering is the discipline of engineering concerned with the principles and practice of product and service quality assurance and control. [1] In software development, it is the management, development, operation and maintenance of IT systems and enterprise architectures with high quality standard. [2][3][4]
Operational acceptance testing (OAT) is used to conduct operational readiness (pre-release) of a product, service or system as part of a quality management system. OAT is a common type of non-functional software testing, used mainly in software development and software maintenance projects. This type of testing focuses on the operational ...