Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8–10, 2023, Guangzhou, China

Research Article

Construction of Software Reliability Assessment Index System Based on ICMM

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  • @INPROCEEDINGS{10.4108/eai.8-12-2023.2344738,
        author={Shizhuang  Yin and Yulu  Shi and Zhifeng  You and Quan  Shi and Shihan  Tan},
        title={Construction of Software Reliability Assessment Index System Based on ICMM},
        proceedings={Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8--10, 2023, Guangzhou, China},
        publisher={EAI},
        proceedings_a={MSIEID},
        year={2024},
        month={4},
        keywords={icmm software reliability iahp expert weights},
        doi={10.4108/eai.8-12-2023.2344738}
    }
    
  • Shizhuang Yin
    Yulu Shi
    Zhifeng You
    Quan Shi
    Shihan Tan
    Year: 2024
    Construction of Software Reliability Assessment Index System Based on ICMM
    MSIEID
    EAI
    DOI: 10.4108/eai.8-12-2023.2344738
Shizhuang Yin1, Yulu Shi2, Zhifeng You1,*, Quan Shi1, Shihan Tan1
  • 1: Army Engineering University
  • 2: People's Liberation Army (PLA) Factory No. 3302
*Contact email: 18525742489@163.com

Abstract

To address the problem of imperfect index system and strong uncertainty of expert scoring in the process of software reliability assessment, the influencing factor set of software node reliability is formed respectively by consulting the literature and experts; the influencing factor set determined by the experts is initially screened by the improved quality house and improved software maturity algorithm, and the obviously unreasonable or repeated factors are removed; the weights of different experts are determined to establish the index system of software node reliability assessment more precisely. By determining the weights of different experts, the software node reliability assessment index system is established more accurately. The construction of software reliability index system can provide a theoretical basis for the improvement of node destruction resistance, and the accurate classification of node state can provide data support for the overall network destruction resistance.