Proceedings International Conference on Dependable Systems and Networks
DOI: 10.1109/dsn.2001.941394
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GOOFI: generic object-oriented fault injection tool

Abstract: In this paper, we present a new fault injection tool called GOOF1 (Generic Object-Oriented Fault Injection). GOOFI is designed to be adaptable to various tat& systems and different fault injection techniques. The tool is highly portable between different host platfornis since it relies on the Java prograrnniing language and A SQL conipatible database. The ciirrent version of the tool supports pre-riintinie Software Impleniented Faiilt Injection and Scan-Chain Inzplemented Fault Injection.

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Cited by 95 publications
(23 citation statements)
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“…GOOFI [27] is a tool capable of injecting faults into the data area of programs before their execution; the tool operates in single or multiple transient fault models. G-SWFIT [28] is a technique for injecting faults in code, based in different types of faults and their statistical frequency.…”
Section: Software Implemented Fault Injectionmentioning
confidence: 99%
“…GOOFI [27] is a tool capable of injecting faults into the data area of programs before their execution; the tool operates in single or multiple transient fault models. G-SWFIT [28] is a technique for injecting faults in code, based in different types of faults and their statistical frequency.…”
Section: Software Implemented Fault Injectionmentioning
confidence: 99%
“…Generalists (e.g., GOOFI [11], NFTAPE [12], FAIL* [5]) are adaptable to various SUTs and FI techniques. They provide means to reuse common modules and avoid the overhead for their re-implementation.…”
Section: Introduction and Related Workmentioning
confidence: 99%
“…Fault injection methods and tools can inject hardware or software faults in a target system under test (see for example, [12] [30]). By forcing and reproducing the occurrence of irregular and unusual events, they can for instance evaluate the target system's ability to cope with them.…”
Section: Related Workmentioning
confidence: 99%