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Software Reliability Prediction Based on Optimized Support Vector Regression

Published: 28 April 2018 Publication History

Abstract

Modeling software reliability, through improving the accuracy of reliability prediction, it plays an important role in improving the reliability of military equipment software. Firstly, Support Vector Regression algorithm and the related parameter types are introduced in this paper. Then, the parameters of Support Vector Regression algorithm are optimized. Finally, Through experimental analysis and comparison with other machine learning algorithms, it is proved that the optimized Support Vector Regression algorithm can effectively improve the accuracy of military equipment software reliability prediction.

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  1. Software Reliability Prediction Based on Optimized Support Vector Regression

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    ICBDC '18: Proceedings of the 3rd International Conference on Big Data and Computing
    April 2018
    155 pages
    ISBN:9781450364263
    DOI:10.1145/3220199
    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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    • Shenzhen University: Shenzhen University

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 28 April 2018

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    Author Tags

    1. Support Vector Regression
    2. prediction accuracy
    3. reliability prediction
    4. software reliability

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