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Fault injection can take many forms. In the testing of operating systems for example, fault injection is often performed by a driver (kernel-mode software) that intercepts system calls (calls into the kernel) and randomly returning a failure for some of the calls. This type of fault injection is useful for testing low-level user-mode software.
These techniques worked by adding a number of known faults to a software system for the purpose of monitoring the rate of detection and removal. This assumed that it is possible to estimate the number of remaining faults in a software system still to be detected by a particular test methodology. Bebugging is a type of fault injection.
[citation needed] Software fault injection, in the form of fuzzing, is an example of failure testing. Various commercial non-functional testing tools are linked from the software fault injection page; there are also numerous open-source and free software tools available that perform destructive testing.
[citation needed] Software fault injection, in the form of fuzzing, is an example of failure testing. Various commercial non-functional testing tools are linked from the software fault injection page; there are also numerous open-source and free software tools available that perform destructive testing.
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]
In computer science, robustness is the ability of a computer system to cope with errors during execution [1] [2] and cope with erroneous input. [2] Robustness can encompass many areas of computer science, such as robust programming, robust machine learning, and Robust Security Network.
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The software being tested is "mission critical", that is, failure of the software (such as a crash) would have disastrous consequences. The amount of time and resources dedicated to testing is usually not sufficient, with traditional testing methods, to test all of the situations in which the software will be used when it is released.