• Register
  • Login

European Journal of Molecular & Clinical Medicine

  1. Home
  2. A Methodology for SOFTWARE RELIABILITY BASED ON STATISTICAL MODELING

Current Issue

By Issue

By Author

By Subject

Author Index

Keyword Index

About Journal

Aims and Scope

Editorial Board

Publication Ethics

Indexing and Abstracting

Related Links

FAQ

Peer Review Process

Journal Metrics

News

A Methodology for SOFTWARE RELIABILITY BASED ON STATISTICAL MODELING

    Authors

    • Avinash seekoli 1
    • Dr.Y. Srinivas 2
    • Dr.P. AnnanNaidu 3

    1 Ph.D scholar

    2 professor,

    3 Assistant professor

,

Document Type : Research Article

  • Article Information
  • Download
  • Export Citation
  • Statistics
  • Share

Abstract

Reliability is one of the quantifiable quality features of the software. Software reliability growth models (SRGMs) are used to assess the reliability achieve at different test times based on statistical learning models. Conventional time based SRGMS may not be accurate enough in all situations and such models cannot identify errors in small and medium sized applications. Numerous traditional reliability measures are used to test software errors during application development and testing. In the software testing and maintenance phase, however, new errors are taken into account in real time in order to determine the reliability estimate. In this article, we suggest using the Weibull model as a computational approach to solving the problem of software reliability modeling. In the anticipated model, a new distribution model is projected to develop the reliability estimation method. We compute the model developed and balance its presentation through additional popular software reliability increase models commencing the literature. Our test consequences demonstrate that the planned Model is greater to S-shaped Yamada, comprehensive Poisson, NHPP.

Keywords

  • Software reliability
  • Software Reliability Growth Models
  • testing
  • Statistical dependencies
  • Accuracy
  • XML
  • PDF 242.73 K
  • RIS
  • EndNote
  • Mendeley
  • BibTeX
  • APA
  • MLA
  • HARVARD
  • VANCOUVER
    • Article View: 236
    • PDF Download: 279
European Journal of Molecular & Clinical Medicine
Volume 7, Issue 4
November 2020
Page 804-809
Files
  • XML
  • PDF 242.73 K
Share
Export Citation
  • RIS
  • EndNote
  • Mendeley
  • BibTeX
  • APA
  • MLA
  • HARVARD
  • VANCOUVER
Statistics
  • Article View: 236
  • PDF Download: 279

APA

seekoli, A., Srinivas, D., & AnnanNaidu, D. (2020). A Methodology for SOFTWARE RELIABILITY BASED ON STATISTICAL MODELING. European Journal of Molecular & Clinical Medicine, 7(4), 804-809.

MLA

Avinash seekoli; Dr.Y. Srinivas; Dr.P. AnnanNaidu. "A Methodology for SOFTWARE RELIABILITY BASED ON STATISTICAL MODELING". European Journal of Molecular & Clinical Medicine, 7, 4, 2020, 804-809.

HARVARD

seekoli, A., Srinivas, D., AnnanNaidu, D. (2020). 'A Methodology for SOFTWARE RELIABILITY BASED ON STATISTICAL MODELING', European Journal of Molecular & Clinical Medicine, 7(4), pp. 804-809.

VANCOUVER

seekoli, A., Srinivas, D., AnnanNaidu, D. A Methodology for SOFTWARE RELIABILITY BASED ON STATISTICAL MODELING. European Journal of Molecular & Clinical Medicine, 2020; 7(4): 804-809.

  • Home
  • About Journal
  • Editorial Board
  • Submit Manuscript
  • Contact Us
  • Glossary
  • Sitemap

News

 

For Special Issue Proposal : editor.ejmcm21@gmail.com

Newsletter Subscription

Subscribe to the journal newsletter and receive the latest news and updates

© Journal Management System. Powered by ejournalplus