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A Software Trustworthiness Measure Based on the Decompositions of Trustworthy Attributes and Its Validation

  • Conference paper
Industrial Engineering, Management Science and Applications 2015

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 349))

Abstract

There exist many software trustworthiness measures based on the decompositions of attributes. However, few of them are concerned with using more rigorous approaches to measure software trustworthiness and carrying out the theoretical validation of measures. Axiomatic approaches formalize the empirical understanding of a software attribute through the definition of a set of desirable software measure properties. It can provide precise and formal terms for the quantification of software attributes. We once used axiomatic approaches to measure software trustworthiness based on multi-dimensional attributes, in this paper, based on previous works, we apply axiomatic approaches to measure software trustworthiness based on the decompositions of attributes, propose the desirable properties of software trustworthiness measures based on the decompositions of attributes, present a software trustworthiness measure and validate this measure from the theory by proving that it complies with the set of properties. Compared with the popular software trustworthiness measures, this measure can evaluate software trustworthiness better in view of our properties.

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Author information

Authors and Affiliations

  1. State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, 45002, China

    Hongwei Tao & Jianmin Pang

  2. MoE Engineering Center for Software/Hardware Co-Design Technology and Application, East China Normal University, Shanghai, 200062, China

    Yixiang Chen

Authors
  1. Hongwei Tao
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  2. Yixiang Chen
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  3. Jianmin Pang
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Editor information

Editors and Affiliations

  1. Tokyo University of Science, Tokyo, Japan

    Mitsuo Gen

  2. Convergence Security Department, Kyounggi University, Suwon-si, Korea, Republic of (South Korea)

    Kuinam J. Kim

  3. Dept. Mathematics & Mechanics, University of Science & Technology Beijing (USTB), Beijing, China

    Xiaoxia Huang

  4. Tokyo University of Science, Tokyo, Japan

    Yabe Hiroshi

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© 2015 Springer-Verlag Berlin Heidelberg

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Tao, H., Chen, Y., Pang, J. (2015). A Software Trustworthiness Measure Based on the Decompositions of Trustworthy Attributes and Its Validation. In: Gen, M., Kim, K., Huang, X., Hiroshi, Y. (eds) Industrial Engineering, Management Science and Applications 2015. Lecture Notes in Electrical Engineering, vol 349. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47200-2_102

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  • DOI: https://doi.org/10.1007/978-3-662-47200-2_102

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47199-9

  • Online ISBN: 978-3-662-47200-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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