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DOI: 10.14569/IJACSA.2022.0131032
PDF

Module Partition Method of Embedded Multitasking Software Based on Fuzzy Set Theory

Author 1: Yunpeng Gu

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 10, 2022.

  • Abstract and Keywords
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Abstract: In order to improve the reliability of embedded multitask software, a module partition method based on fuzzy set theory is proposed to solve the problem of large number of software failures and high frequency of failures. Firstly, the characteristics of embedded multitask software are analyzed, and the constraint parameter distribution model is constructed. Then the reliability parameter analysis model of embedded multitask software is constructed, and the multilevel fuzzy metric structure combined with quantitative recursive analysis method is used to complete the division of embedded multitask software modules. The simulation results show that the accuracy of the proposed method exceeds 99% after the number of iterations exceeds 50. The experimental results show that the method has high reliability, high precision and high practicability.

Keywords: Multitasking; embedded; modular; fuzzy set theory

Yunpeng Gu, “Module Partition Method of Embedded Multitasking Software Based on Fuzzy Set Theory” International Journal of Advanced Computer Science and Applications(IJACSA), 13(10), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0131032

@article{Gu2022,
title = {Module Partition Method of Embedded Multitasking Software Based on Fuzzy Set Theory},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0131032},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0131032},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {10},
author = {Yunpeng Gu}
}



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.

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