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Research on software service risk uncertainty calculation method based on information entropy

Published: 20 December 2021 Publication History

Abstract

Software is the soul of computer system. The risk faced by software service directly determines the trustworthiness of software system. Taking the information entropy theory as the main method, this paper proposes a software service risk uncertainty calculation method based on information entropy. By calculating the entropy weight coefficient of each risk component factor, the uncertainty of software service risk is calculated. The research findings of this paper will provide theoretical and methodological support for the comprehensive evaluation of software service risk and the measurement of software service trustworthiness.

References

[1]
Kang Chen and Weiming Zheng. 2009. Cloud Computing: system examples and research status. Journal of software, 20, 5 (June 2009), 1337-1348. https://10.3724/SP.J.1001.2009.03493
[2]
Nirmalya Thakur and Chia Y. Han. 2021. A Study of Fall Detection in Assisted Living: Identifying and Improving the Optimal Machine Learning Method. Journal of Sensor and Actuator Networks, 10, 3 (June 2021), 39. https://doi.org/10.3390/jsan10030039
[3]
Huirong Ma, Xu Chen, Zhi Zhou and Shuai Yu. 2020. Dynamic task offloading for mobile edge computing with green energy. Journal of Computer Research and Development. 57, 9 (September 2020), 1823-1838. https://10.7544/issn1000-1239.2020.20200184
[4]
Tilei Gao, Jinyu He, Tengyang Fan, and Feng Ma. 2021. Research on dynamic evolution method of software service based on trusted agent. In 2021 4th International Conference on Data Science and Information Technology (DSIT 2021). Association for Computing Machinery, New York, NY, USA, 154–158. https://doi.org/10.1145/3478905.3478936
[5]
Núñez J. A., Cincotta P. M., and Wachlin F. C. 1996. Information entropy. Celestial Mechanics and Dynamical Astronomy. 64, 1 (March 1996), 43-53. https://doi.org/10.1007/BF00051604
[6]
Tilei Gao, Tong Li, Ming Yang and Rong Jiang. 2019. Research on a Trustworthiness Measurement Method of Cloud Service Construction Processes Based on Information Entropy. Entropy. 21,5 (May 2019), 462-481. https://doi.org/10.3390/e21050462
[7]
Xuan Zhang, Tong Li, Xu Wang, Qian Yu, Yong Yu and Rui Zhu. 2015. Formal Analysis to Non-Functional Requirements of Trustworthy Software. Journal of Software. 26, 10 (October 2015), 2545-2566. https://doi.org/10.13328/j.cnki.jos.004813
[8]
Ayman Alarabiat and Isabel Ramos. 2019. The Delphi Method in Systems Research (2004-2017). Electronic Journal of Business Research Methods. 17, 2 (2019), n. pag. https://doi.org/10.34190/jbrm.17.2.04

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cover image ACM Other conferences
CSSE '21: Proceedings of the 4th International Conference on Computer Science and Software Engineering
October 2021
366 pages
ISBN:9781450390675
DOI:10.1145/3494885
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 December 2021

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Author Tags

  1. Information entropy
  2. Risk uncertainty
  3. Software service risk

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  • Refereed limited

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CSSE 2021

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Overall Acceptance Rate 33 of 74 submissions, 45%

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