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Fault detection, isolation, and recovery (FDIR) is a subfield of control engineering which concerns itself with monitoring a system, identifying when a fault has occurred, and pinpointing the type of fault and its location. Two approaches can be distinguished: A direct pattern recognition of sensor readings that indicate a fault and an analysis ...
The construction of a failure detector is an essential, but a very difficult problem that occurred in the development of the fault-tolerant component in a distributed computer system. As a result, the failure detector was invented because of the need for detecting errors in the massive information transaction in distributed computing systems.
Fault injection is a testing method that can be used for checking the robustness of systems. During the process, testing engineers inject faults into systems and observe the system's resiliency. [4] Test engineers can develop efficient methods which aid fault injection to find critical faults in the system. [5] [6]
The coupling effect asserts that simple faults can cascade or couple to form other emergent faults. [11] [12] Subtle and important faults are also revealed by higher-order mutants, which further support the coupling effect. [13] [14] [7] [15] [16] Higher-order mutants are enabled by creating mutants with more than one mutation.
graph with an example of steps in a failure mode and effects analysis. Failure mode and effects analysis (FMEA; often written with "failure modes" in plural) is the process of reviewing as many components, assemblies, and subsystems as possible to identify potential failure modes in a system and their causes and effects.
ATPG (acronym for both automatic test pattern generation and automatic test pattern generator) is an electronic design automation method or technology used to find an input (or test) sequence that, when applied to a digital circuit, enables automatic test equipment to distinguish between the correct circuit behavior and the faulty circuit behavior caused by defects.
The emphasis on applying a broad spectrum of defect prevention and defect detection practices is based on the premise that different development testing techniques are tuned to expose different types of defects at different points in the software development lifecycle, so applying multiple techniques in concert decreases the risk of defects ...
However, at least one recent study did not show a dramatic difference in defect detection efficiency between exploratory testing and test case based testing. [3] Testing can be through black-, white-or grey-box testing. In white-box testing the tester is concerned with the execution of the statements through the source code.