Nonparametric dynamically weighted combination model to determine when to stop testing

Software manufacturers need to minimize the number of their software failures in their production environments. So, software reliability becomes a critical factor for these manufacturers to focus on. Software Reliability Growth Models (SRGMs) are used as indicators of the number of failures that may...

Full description

Saved in:
Bibliographic Details
Published in:The Journal of supercomputing 2020-08, Vol.76 (8), p.6065-6082
Main Authors: Deiva Preetha, C. A. S., Ramasamy, Subburaj
Format: Article
Language:English
Subjects:
Compilers
Computer Science
Growth models
Indicators
Interpreters
Nonparametric statistics
Processor Architectures
Programming Languages
Reliability aspects
Reliability engineering
Shipping
Software reliability
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Software manufacturers need to minimize the number of their software failures in their production environments. So, software reliability becomes a critical factor for these manufacturers to focus on. Software Reliability Growth Models (SRGMs) are used as indicators of the number of failures that may be faced after the shipping of the software and thus are indicators of the readiness of the software for shipping. SRGMs to handle varying operational profiles have been proposed by researchers earlier. However, as it is difficult to predict the nature of the project in advance, the reliability engineer has to try out each model one at a time before zeroing in on the model to be used in the project. We have derived a combination model, called dynamically weighted infinite NHPP combination, using the existing models for determining the release time. The nonparametric dynamically weighted combination model that we propose was validated and was found to be effective.
ISSN:0920-8542
1573-0484
DOI:10.1007/s11227-019-03125-9