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Efficiency Evaluation of Software Faults Correction Based on Queuing Simulation

Author

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  • Yuka Minamino

    (Faculty of Engineering, Tottori University, 4-101, Minami, Koyama-cho, Tottori-shi 680-8552, Tottori, Japan)

  • Yusuke Makita

    (Faculty of Engineering, Tottori University, 4-101, Minami, Koyama-cho, Tottori-shi 680-8552, Tottori, Japan)

  • Shinji Inoue

    (Faculty of Informatics, Kansai University, 2-1-1, Ryozenji-cho, Takatsuki-shi 569-1095, Osaka, Japan)

  • Shigeru Yamada

    (Faculty of Engineering, Tottori University, 4-101, Minami, Koyama-cho, Tottori-shi 680-8552, Tottori, Japan)

Abstract

Fault-counting data are collected in the testing process of software development. However, the data are not used for evaluating the efficiency of fault correction activities because the information on the fault detection and correction times of each fault are not recorded in the fault-counting data. Furthermore, it is difficult to collect new data on the detection time of each fault to realize efficiency evaluation for fault correction activities from the collected fault-counting data due to the cost of personnel and data collection. In this paper, we apply the thinning method, using intensity functions of the delayed S-shaped and inflection S-shaped software reliability growth models (SRGMs) to generate sample data of the fault detection time from the fault-counting data. Additionally, we perform simulations based on the infinite server queuing model, using the generated sample data of the fault detection time to visualize the efficiency of fault correction activities.

Suggested Citation

  • Yuka Minamino & Yusuke Makita & Shinji Inoue & Shigeru Yamada, 2022. "Efficiency Evaluation of Software Faults Correction Based on Queuing Simulation," Mathematics, MDPI, vol. 10(9), pages 1-9, April.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:9:p:1438-:d:801207
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    References listed on IDEAS

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    1. Hoang Pham, 2006. "System Software Reliability," Springer Series in Reliability Engineering, Springer, number 978-1-84628-295-9, December.
    2. Mengmeng Zhu & Hoang Pham, 2022. "Software Reliability Modeling and Methods: A State of the Art Review," Springer Series in Reliability Engineering, in: Anu G. Aggarwal & Abhishek Tandon & Hoang Pham (ed.), Optimization Models in Software Reliability, pages 1-29, Springer.
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    Cited by:

    1. Gurami Tsitsiashvili & Marina Osipova, 2023. "Asymptotic Relations in Applied Models of Inhomogeneous Poisson Point Flows," Mathematics, MDPI, vol. 11(8), pages 1-10, April.

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