error-based testing - meaning and definition. What is error-based testing
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What (who) is error-based testing - definition

A TYPE OF SOFTWARE TESTING THAT FUNCTIONS AS AN ORGANIZATIONAL PRINCIPLE USED TO PRIORITIZE THE TESTS OF SOFTWARE FEATURES, BASED ON THE RISK OF FAILURE, AND LIKELIHOOD OR IMPACT OF FAILURE
Risk based testing; Risk-based Testing

error-based testing      
<programming> Testing where information about programming style, error-prone language constructs, and other programming knowledge is applied to select test data capable of detecting faults, either a specified class of faults or all possible faults. (1996-05-13)
Keyword-driven testing         
KEYDRIVEN DATA DRIVEN FRAME WORK
Table-driven testing; Keyword driven testing
Keyword-driven testing, also known as action word based testing (not to be confused with action driven testing), is a software testing methodology suitable for both manual and automated testing. This method separates the documentation of test casesincluding both the data and functionality to usefrom the prescription of the way the test cases are executed.
Risk Based Testing         
<testing> Testing based on identification of potential risks (or "candidate risks"), which should be analysed by the project stakeholder or which might appear during the project's development. (2006-09-07)

Wikipedia

Risk-based testing

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.Gerrard, Paul; Thompson, Neil (2002). Risk Based E-Business Testing. Artech House Publishers. ISBN 978-1-58053-314-0.</ref> In theory, there are an infinite number of possible tests. Risk-based testing uses risk (re-)assessments to steer all phases of the test process, i.e., test planning, test design, test implementation, test execution and test evaluation. This includes for instance, ranking of tests, and subtests, for functionality; test techniques such as boundary-value analysis, all-pairs testing and state transition tables aim to find the areas most likely to be defective.