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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 10, 2018.
Abstract: Fault Injection (FI) is the most popular technique used in the evaluation of fault effects and the dependability of a design. Fault Simulation/Emulation (S/E) is involved in several applications such as test data generation, test set evaluation, circuit testability, fault detection & diagnosis, and many others. These applications require a faulty module of the original design for fault injection testing. Currently, Hardware Description Languages (HDL) are involved in improving methodologies related to the digital system testing for Field Programmable Gate Array (FPGA). Designers can perform advanced testing and fault S/E methods directly on HDL. To modify the HDL design, it is very cumbersome and time-consuming task. Therefore, a fault injection tool (RASP-FIT) is developed and presented, which consists of code-modifier, fault injection control unit and result analyser. However, in this paper, code modification techniques of RASP-FIT are explained for the Verilog code at different abstraction levels. By code-modification, it means that a faulty module of the original design is generated which includes different permanent and transient faults at every possible location. The RASP-FIT tool is an automatic and fast tool which does not require much user intervention. To validate these claims, various faulty modules for different benchmark designs are generated and presented.
Abdul Rafay Khatri, Ali Hayek and Josef Borcsok, “RASP-FIT: A Fast and Automatic Fault Injection Tool for Code-Modification of FPGA Designs” International Journal of Advanced Computer Science and Applications(IJACSA), 9(10), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091004
@article{Khatri2018,
title = {RASP-FIT: A Fast and Automatic Fault Injection Tool for Code-Modification of FPGA Designs},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091004},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091004},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {10},
author = {Abdul Rafay Khatri and Ali Hayek and Josef Borcsok}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.