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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SOFTWARE RELIABILITY GROWTH MODEL WITH SOFT COMPUTING APPROACH

    2 Author(s):  PAWAN KUMAR SHARMA , VIJAY KUMAR

Vol -  13, Issue- 9 ,         Page(s) : 125 - 130  (2022 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

When a software is designed. The major concern is the software quality, which depends upon several factors such as software reliability, efficiency, cost etc. This type of software research helps in predicting the software reliability in various applications and help software manager to plan its resources and the releasing of the product. Most software reliability growth model uses a classical approach to infer parameters and they have shown limitations in prediction accuracy.

[1] Goel , AL and Kazuhira Okumoto, 1979. “A Time Dependent Error Detection Model for Software Reliability and Other Performance Measures”. IEEE Trans. Reliability, vol R – 28,  pp 206 – 211.
[2] M. Alweshah, 2014. “Firstly Algorithm with Artificial Neural Network for Time Series problems,”  Research Journal of Applied Science, Engineering and Technology, Vol. 7 pp. 3978 – 3982.
[3] Kececioghu, Mimitri, 1991. “ Reliability Engineering Handbook”, Volume 2 ,Prentice Hall .

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