Research on Calculation Method of Software Service Risk Occurrence Probability Based on Markov Chain Theory
AISS '21: Proceedings of the 3rd International Conference on Advanced Information Science and System
Article No.: 46, Pages 1 - 5
Abstract
The new computing models represented by cloud computing, Internet of things, big data and artificial intelligence put forward higher requirements for the trustworthiness of software services. Software service risk occurrence probability is one of the key indicators of software service trustworthiness. The trustworthiness of software services with low risk occurrence probability is not necessarily high, but the trustworthiness of software services with high risk occurrence probability is certainly low. In order to solve the screening problem of software services with high risk probability in the process of software service selection, this paper proposes a software service risk probability calculation method based on Markov Chain theory, and verifies the effectiveness and feasibility of the proposed method through a case study.
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November 2021
526 pages
ISBN:9781450385862
DOI:10.1145/3503047
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Association for Computing Machinery
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Published: 19 January 2022
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AISS 2021
AISS 2021: 2021 3rd International Conference on Advanced Information Science and System
November 26 - 28, 2021
Sanya, China
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