Open AccessSoftware Reliability Prediction and Estimation
Author(s) -
Saswati Pattnaik,
Mitrabinda Ray
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.h6329.069820
Subject(s) - software quality , reliability engineering , computer science , reliability (semiconductor) , software reliability testing , software sizing , software metric , software , markov model , verification and validation , bayesian probability , software development , software construction , markov chain , machine learning , artificial intelligence , statistics , engineering , mathematics , power (physics) , physics , quantum mechanics , programming language
The rapid growth of the software products tends to increase the software application complexity. The complexity affects the software quality which is achieved by means of software reliability. It is desirable to perform reliability analysis at the early phase of Software Development Life Cycle. The paper conducts a thorough analysis on Bayesian model and Markov model which are common for both reliability prediction and estimation. We evaluate the state based model and path based model for reliability assessment and results obtained in both are same.