MiFIT: A Fault Injection Tool to Validate the Reliability of Microprocessors

Aponte-Moreno, Alexander; Restrepo-Calle, Felipe; Pedraza, César

doi:10.1109/latw.2019.8704578

Cited by 7 publications

(5 citation statements)

References 11 publications

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“…Three fault-injection tools were tested in this work: The first two (MiFIT and Naken-FIM) were ISA-level simulators, while the third, FIM, was an emulation-based facility. MiFIT [14] is a modular, open source fault injection tool for microprocessors which is supported by a standard interface that is usually available in most modern simulators and real devices. Naken-FIM is a specialized tool derived from an extension of Naken [15], an open source MSP processor simulator.…”

Section: Fault Injection Toolsmentioning

confidence: 99%

“…The Microprocessors Fault Injection Tool (MiFIT) is a modular fault injection tool [14]. Its source code is publicly available at: https:// github.com/UNPLaS/MiFIT.…”

Section: Mifitmentioning

confidence: 99%

“…Thus, the results of three fault-injection tools are tested in this work to analyze their applicability to realistic radiation scenarios: the first two (i.e., MiFIT [14] and Naken-FIM [15]) are ISA-level simulators, whilst the third one, FIM, is an emulation-based facility. The comparative assessment, conducted with a Texas Instruments MSP430 microcontroller, performed both fault injection simulated and emulated campaigns and irradiation experiments using real radiation at the Los Alamos Neutron Science Center (LANSCE) Weapons Neutron Research Facility at Los Alamos, USA.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of fault injection tools for reliability estimation of microprocessor-based embedded systems

Aponte-Moreno

Isaza-Gonzalez²,

Serrano-Cases³

et al. 2023

Microprocessors and Microsystems

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Section: Fault Injection Toolsmentioning

confidence: 99%

“…The Microprocessors Fault Injection Tool (MiFIT) is a modular fault injection tool [14]. Its source code is publicly available at: https:// github.com/UNPLaS/MiFIT.…”

Section: Mifitmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of fault injection tools for reliability estimation of microprocessor-based embedded systems

Aponte-Moreno

Isaza-Gonzalez²,

Serrano-Cases³

et al. 2023

Microprocessors and Microsystems

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“…While Broadwell presented the FIG tool (Fault Injection in Glibc), FIG is a testing tool for UNIX development by C library and desktop robustness/server applications in a UNIX environment. In terms of the impact of faults in an operating system environment, Moreno et al (2019) [15] present an open source fault injection tool-MiFIT performed on microcontrollers based on timer interruptions.…”

Section: Literature Reviewmentioning

confidence: 99%

FIBR-OSS: fault injection model for bug reports in open-source software

Alazawi

Al-Salam²

2020

IJEECS

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<span>For assessment of system dependability, fault injection techniques are used to expedite the presence of an error or failure in the system, which helps evaluate fault tolerance and system failure prediction. Defects classification and prediction is the principal significant advance in the trustworthiness evaluation of complex software systems such as open-source software since it can quickly be affected by the reliability of those systems, improves performance, and lessening the product cost. In this context, a new prototype of the fault injection model is presented, FIBR-OSS (Fault Injection for Bug Reports in Open-Source Software). FIBR-OSS can support developers to evaluate the system performance during phase's development for its dependability attributes such as reliability and system dependability means such as fault prediction or forecasting. FIBR-OSS is used for fault speed-up to test the system's failure prediction performance. Some machine learning techniques are implemented on bug reports produced existing by the bug tracking system as datasets for failure prediction techniques, some of those machine learning techniques are used in our approach.</span>

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“…To validate the efficiency of the hardening stage, fault injection tests were carried out in the hardened and non-hardened programs in different approximation versions. The injections were made through fault simulation using the MiFIT tool [48].…”

Section: Fault Injection Campaignsmentioning

confidence: 99%

Using Approximate Computing and Selective Hardening for the Reduction of Overheads in the Design of Radiation-Induced Fault-Tolerant Systems

2019

Self Cite

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Fault mitigation techniques based on pure software, known as software-implemented hardware fault tolerance (SIHFT), are very attractive for use in COTS (commercial off-the-shelf) microprocessors because they do not require physical modification of the system. However, these techniques cause software overheads that may affect the efficiency and costs of the overall system. This paper presents a design method of radiation-induced fault-tolerant microprocessorbased systems with lower execution time overheads. For this purpose, approximate computing and selective fault mitigation software-based techniques are used; thus it can be used in COTS devices. The proposal is validated through a case study for the TI MSP430 microcontroller. Results show that the designer can choose among a wide spectrum of design configurations, exploring different trade-offs between reliability, performance, and accuracy of results.

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MiFIT: A Fault Injection Tool to Validate the Reliability of Microprocessors

Cited by 7 publications

References 11 publications

Evaluation of fault injection tools for reliability estimation of microprocessor-based embedded systems

Evaluation of fault injection tools for reliability estimation of microprocessor-based embedded systems

FIBR-OSS: fault injection model for bug reports in open-source software

Using Approximate Computing and Selective Hardening for the Reduction of Overheads in the Design of Radiation-Induced Fault-Tolerant Systems

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