International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

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STATISTICAL MODELS IN SOFTWARE RELIABILITY AND OPERATIONS RESEARCH

    1 Author(s):  DR. NARESH KUMAR

Vol -  14, Issue- 1 ,         Page(s) : 145 - 145  (2023 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

Statistical models are a mathematical representation of observed data that helps analysts and data scientists visualize the relationship and patterns between data sets. Moreover, it provides them with a solid foundation to forecast and project data for the foreseeable future. Software reliability growth models (SRGMs) are used to assess the reliability achieve at different test times based on statistical learning models.

1]      A. L. Goel and K. Okumoto, “Time-dependent error-detectionrate model for software reliability and other performance measures,” IEEE Transactions on Reliability, vol. 28, no. 3, pp.206–211
[2]      S. Yamada and S. Osaki, “Software Reliability Growth Modeling:Models and Applications,” IEEE
Transactions on Software Engineering, vol. SE-11, no. 12, pp. 1431–1437, 1985.
[3]      P. K. Kapur and R. B. Garg, “A software reliability growthmodel for an error removal phenomenon,”
Software EngineeringJournal, vol. 7, no. 4, pp. 291–294, 1992

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