Software reliability growth modeling for agile software development

Shubham Rawat; Nupur Goyal; Mangey Ram

doi:10.1515/amcs-2017-0054

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Software reliability growth modeling for agile software development

International Journal of Applied Mathematics and Computer Science

Volume 27 (2017): Issue 4 (December 2017)

By: Shubham Rawat, Nupur Goyal and Mangey Ram

Open Access

|Jan 2018

Abstract

The frequent incremental release of software in agile development impacts the overall reliability of the product. In this paper, we propose a generic software reliability model for the agile process, taking permanent and transient faults into consideration. The proposed model is implemented using the NHPP (non-homogenous Poisson process) and the Musa model. The comparison of the two implementations yields an effective, empirical and reliable model for agile software development.

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Articles in this issue

DOI: https://doi.org/10.1515/amcs-2017-0054 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X

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Language: English

Page range: 777 - 783

Submitted on: Jul 10, 2016

Accepted on: Apr 27, 2017

Published on: Jan 13, 2018

Published by: University of Zielona Góra

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

software reliability,

testing,

non-homogeneous poison process,

Related subjects:

© 2018 Shubham Rawat, Nupur Goyal, Mangey Ram, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 27 (2017): Issue 4 (December 2017)