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The Selection of Software Reliability Growth Models in Software Development Life Cycle

J.K. Mantri1 , R.S Bala2

Section:Survey Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 1505-1512, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i6.15051512

Online published on Jun 30, 2018

Copyright © J.K. Mantri, R.S Bala . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: J.K. Mantri, R.S Bala, “The Selection of Software Reliability Growth Models in Software Development Life Cycle,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1505-1512, 2018.

MLA Style Citation: J.K. Mantri, R.S Bala "The Selection of Software Reliability Growth Models in Software Development Life Cycle." International Journal of Computer Sciences and Engineering 6.6 (2018): 1505-1512.

APA Style Citation: J.K. Mantri, R.S Bala, (2018). The Selection of Software Reliability Growth Models in Software Development Life Cycle. International Journal of Computer Sciences and Engineering, 6(6), 1505-1512.

BibTex Style Citation:
@article{Mantri_2018,
author = {J.K. Mantri, R.S Bala},
title = {The Selection of Software Reliability Growth Models in Software Development Life Cycle},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {1505-1512},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2375},
doi = {https://doi.org/10.26438/ijcse/v6i6.15051512}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.15051512}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2375
TI - The Selection of Software Reliability Growth Models in Software Development Life Cycle
T2 - International Journal of Computer Sciences and Engineering
AU - J.K. Mantri, R.S Bala
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 1505-1512
IS - 6
VL - 6
SN - 2347-2693
ER -

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Abstract

The definition of software engineering might blast something like, “An organized, analytical approach to the analysis, design, development, use, reliability and maintenance of software.”Software reliability is the probability that a software system will function without failure under a given environment and during a specified period of time. To be cost and time effective, reliability engineering has to be coordinated with quality assurance activities, in agreement with Total Quality Management (TQM) and concurrent engineering efforts. To build in reliability and maintainability into complex equipment or systems, failure rate and failure mode analyses have to be performed early in the software development life cycle (SDLC) and be supported by design guidelines for reliability, maintainability and software quality as well as extensive design reviews. There are different types of software reliability models (SRMs) used for different phases of the software development life-cycle. With the growing demand to deliver quality software, software development organizations need to manage quality achievement and assessment. In this paper, we present the utility of a software reliability growth model is related to its stability and predictive ability. Stability means that the model parameters should not significantly change as new data is added. Predictive ability means that the number of remaining defects predicted by the model should be close to the number found in field use.

Key-Words / Index Term

Software reliability models, model classification, software reliability growth model, Time Between Failure, Fault Count Model

References

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