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Control banding is a qualitative or semi-quantitative risk assessment and management approach to promoting occupational health and safety.It is intended to minimize worker exposures to hazardous chemicals and other risk factors in the workplace and to help small businesses by providing an easy-to-understand, practical approach to controlling hazardous exposures at work.
Highly abstract or novel new concepts can be difficult to understand without concrete examples. [citation needed] Specification by example is intended to construct an accurate understanding, and significantly reduces feedback loops in software development, leading to less rework, higher product quality, faster turnaround time for software changes and better alignment of activities of various ...
Exposure analysis is the science that describes how an individual or population comes in contact with a contaminant, including quantification of the amount of contact across space and time. 'Exposure assessment' and 'exposure analysis' are often used as synonyms in many practical contexts. Risk is a function of exposure and hazard.
This article discusses a set of tactics useful in software testing.It is intended as a comprehensive list of tactical approaches to software quality assurance (more widely colloquially known as quality assurance (traditionally called by the acronym "QA")) and general application of the test method (usually just called "testing" or sometimes "developer testing").
Note: Repaired Unit Acceptance Testing performance data is also used to evaluate "in-family" performance. While a UUT may meet all other Acceptance Test pass/fail criteria, results which deviate significantly from other repaired units or from the original Production Unit Acceptance Test data shall require rejection of the UUT.
Risk-based testing (RBT) is a type of software testing that functions as an organizational principle used to prioritize the tests of features and functions in software, based on the risk of failure, the function of their importance and likelihood or impact of failure. [1] [2] [3] In theory, there are an infinite number of possible tests.
Model-based testing is an application of model-based design for designing and optionally also executing artifacts to perform software testing or system testing. Models can be used to represent the desired behavior of a system under test (SUT), or to represent testing strategies and a test environment.
In computer programming, profile-guided optimization (PGO, sometimes pronounced as pogo [1]), also known as profile-directed feedback (PDF) [2] or feedback-directed optimization (FDO), [3] is the compiler optimization technique of using prior analyses of software artifacts or behaviors ("profiling") to improve the expected runtime performance of the program.