
An Empirical Analysis of Software Reliability using Reliability Analysis Algorithm
Author(s) -
Gayathry G*,
R Thirumalaiselvi
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c5712.098319
Subject(s) - reliability (semiconductor) , software quality , reliability engineering , computer science , software reliability testing , software , measure (data warehouse) , algorithm , software metric , computation , data mining , software development , engineering , programming language , power (physics) , physics , quantum mechanics
Reliability is the fundamental aspect of a software system that cannot be ignored and hard to measure. Two major elements namely hardware and software need to be measured to evaluate the reliability of software system. The work that is already existing give focus on measuring the reliability of software alone. With little consideration in measuring the reliability of hardware. The present work focuses on computation of hardware reliability and software reliability together. The aim is to propose an algorithm to develop a model for estimation of reliability. The algorithm is named as reliability analysis algorithm. Using comparison criteria developed model is compared with other two traditional models. The result of this study shows that the developed model can be used to measure and predict the reliability with high degree of accuracy