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A Novel Trustworthiness Measurement Method for Software System Based on Fuzzy Set

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Artificial Intelligence Logic and Applications (AILA 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1657))

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Abstract

The software has been a part of our daily life. However, software systems are becoming more and more complex, with many uncertainties, unavoidable software bugs, failures, and even disasters. The measurement of software trustworthiness has already attracted attention from both academia and industry. Today, component-based software systems (CBSS) have become mainstream due to their high reusability and low development cost. How to accurately measure the trustworthiness of CBSS has become an urgent problem to be solved. In this paper, to overcome this problem, we calculate the importance of components according to the fault propagation impact and function importance and propose a fuzzy criticality model to distinguish critical components from non-critical components. Finally, we propose a hierarchical trustworthiness computing model to measure the trustworthiness of software systems. Through the results of experiments, the necessity of determining critical components and the rationality of the hierarchical trustworthiness measurement model are verified.

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Acknowledgements

This paper is funded by East China Normal University-Huawei Trustworthiness Innovation Center and Shanghai Trusted Industry Internet Software Collaborative Innovation Center.

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Authors and Affiliations

  1. National Engineering Research Center of Trustworthy Embedded Software, East China Normal University, Shanghai, 200062, China

    Qilong Nie & Yixiang Chen

  2. College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, China

    Hongwei Tao

Authors
  1. Qilong Nie
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  2. Yixiang Chen
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  3. Hongwei Tao
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Corresponding author

Correspondence to Yixiang Chen .

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Editors and Affiliations

  1. East China Normal University, Shanghai, China

    Yixiang Chen

  2. Chinese Academy of Sciences, Beijing, China

    Songmao Zhang

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Nie, Q., Chen, Y., Tao, H. (2022). A Novel Trustworthiness Measurement Method for Software System Based on Fuzzy Set. In: Chen, Y., Zhang, S. (eds) Artificial Intelligence Logic and Applications. AILA 2022. Communications in Computer and Information Science, vol 1657. Springer, Singapore. https://doi.org/10.1007/978-981-19-7510-3_19

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  • DOI: https://doi.org/10.1007/978-981-19-7510-3_19

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  • Online ISBN: 978-981-19-7510-3

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