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 …
T Yaghoobi - Mathematics and Computers in Simulation, 2020 - Elsevier
Differential evolution (DE) is known as a strong and simple optimization method able to work with non-differential, nonlinear, and multimodal functions. This paper proposes a modified …
ГП Акимова, АВ Соловьев, ИА Тарханов - … и вычислительные системы, 2019 - mathnet.ru
В статье рассматривается методология моделирования схем надежности больших территориально распределенных информационных систем. В большинстве проектов …
P Govindasamy, R Dillibabu - The Journal of Supercomputing, 2020 - Springer
This article proposes three software reliability models based on a hybrid approach combining NHPP models, Weibull model, and exponential model. The software failure is first …
In modern era, industries demand for innovative and reliable software solutions. To maintain the reliability level of softwares various software reliability growth models were proposed in …
J Steakelum, J Aubertine, K Chen, V Nagaraju… - Annals of Operations …, 2022 - Springer
Recent research applies soft computing techniques to fit software reliability growth models. However, runtime performance and the distribution of the distance from an optimal solution …
V Verma, N Neha, AG Aggarwal - Soft computing methods for system …, 2020 - igi-global.com
This chapter presents the application of grey wolf optimizer in software release planning considering warranty based on the proposed mathematical model that measures reliability …
In this chapter, the classification of software reliability models (SRMs) is studied on the basis of effective and efficient quality of SRMs and the software faults with categorisation of vast …
V Nagaraju, L Fiondella - Reliability and Maintenance Modeling …, 2023 - taylorfrancis.com
Historically, numerical algorithms such as Newton's method were employed, which required good initial parameter estimates and therefore a high level of expertise to apply SRGM …