[HTML][HTML] A systematic review on software reliability prediction via swarm intelligence algorithms

LS Kong, MB Jasser, SSM Ajibade… - Journal of King Saud …, 2024 - Elsevier
The widespread integration of software into all parts of our lives has led to the need for
software of higher reliability. Ensuring reliable software usually necessitates some form of …

Cloud services selection: A systematic review and future research directions

N Thakur, A Singh, AL Sangal - Computer Science Review, 2022 - Elsevier
Cloud computing has developed in popularity as a large-scale computing paradigm that
offers a range of computing resources as a service through the internet on a pay-as-you-go …

An approach to software reliability prediction based on time series modeling

A Amin, L Grunske, A Colman - Journal of Systems and Software, 2013 - Elsevier
Reliability is the key factor for software system quality. Several models have been introduced
to estimate and predict reliability based on results of software testing activities. Software …

A software reliability model with dependent failure and optimal release time

YS Kim, KY Song, H Pham, IH Chang - Symmetry, 2022 - mdpi.com
In the past, because computer programs were restricted to perform only simple functions, the
dependence on software was not large, resulting in relatively small losses after a failure …

A novel CRITIC‐TOPSIS approach for optimal selection of software reliability growth model (SRGM)

P Saxena, V Kumar, M Ram - Quality and Reliability …, 2022 - Wiley Online Library
Abstract Various Software Reliability Growth Models (SRGMs) have been developed over
last five decades to estimate the failure rate, software reliability and remaining number of …

Decision support system for optimal selection of software reliability growth models using a hybrid approach

R Garg, S Raheja, RK Garg - IEEE Transactions on Reliability, 2021 - ieeexplore.ieee.org
A hybrid approach, namely “entropy-combinative distance-Based assessment (CODAS-E),”
is proposed and presented to select and rank software reliability growth models based on …

Towards data-driven reliability modeling for cyber-physical production systems

J Friederich, S Lazarova-Molnar - Procedia computer science, 2021 - Elsevier
Reliability is one of the most important performance indicators in contemporary production
facilities. Increasing reliability of manufacturing systems results in their prolonged lifetimes …

MCDM-based parametric selection of cloud deployment models for an academic organization

R Garg - IEEE Transactions on Cloud Computing, 2020 - ieeexplore.ieee.org
In the present scenario, academic organizations are looking toward the adoption of the
cloud computing services to make improvements in teaching, learning, and research …

Selecting software reliability growth models and improving their predictive accuracy using historical projects data

R Rana, M Staron, C Berger, J Hansson… - Journal of Systems and …, 2014 - Elsevier
During software development two important decisions organizations have to make are: how
to allocate testing resources optimally and when the software is ready for release. SRGMs …

Key issues in software reliability growth models

MA Haque, N Ahmad - Recent Advances in Computer Science …, 2022 - benthamdirect.com
Background: Software Reliability Growth Models (SRGMs) are the most widely used
mathematical models to monitor, predict and assess the software reliability. They play an …