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Wednesday, October 21, 2020 | History

3 edition of Statistical modelling of software reliability found in the catalog.

Statistical modelling of software reliability

Statistical modelling of software reliability

semi-annual status report no. 2, 1 October 1991 through 31 December 1992

  • 287 Want to read
  • 33 Currently reading

Published by Dept. of Operations Research and Engineering, School of Information Technology and Engineering, George Mason University, National Aeronautics and Space Administration in Fairfax, VA, [Washington, DC] .
Written in English

    Subjects:
  • Computer software -- Reliability.

  • Edition Notes

    StatementDouglas R. Miller, principal investigator.
    Series[NASA contractor report] -- NASA CR-192986., NASA contractor report -- NASA CR-192986.
    ContributionsUnited States. National Aeronautics and Space Administration.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL14703578M

    A Tool for Statistical Modeling and Estimation of Reliability Functions for Software: SMERFS William H. Farr Naval Surface Weapons Center, Dahlgren, Virginia and Oliver D. Smith Washington Analytical Services Center, Inc., Dahlgren, Virginia With the tremendous growth in computer software, the demand has arisen for producing cost-effective reliable by: Book Description. Written for those who have taken a first course in statistical methods, this book takes a modern, computer-oriented approach to describe the statistical techniques used for the assessment of reliability.

    An outgrowth of the sixth conference on “Mathematical Methods in Reliability: Theory, Methods, and Applications,” this book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability. There are many probabilistic and statistical approaches to modelling software reliability. Software reliability estimates are used for various purposes: during development, to make the release decision; and after the software has been taken into use, as part of system reliability estimation, as a basis of maintenance recommendations, and further improvement, or a basis of the Cited by:

    Reliability Modeling – The RIAC Guide to Reliability Prediction, Assessment and Estimation The intent of this book is to provide guidance on modeling techniques that can be used to quantify the reliability of a product or system. In this context, reliability modeling is the process of constructing a mathematical model that is used to estimate. It provides a broad overview of current research activities in reliability theory and its applications. There are chapters on reliability modelling, network and system reliability, reliability optimization, survival analysis, degradation and maintenance modelling, and software reliability. The authors are all leading experts in the field.


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Statistical modelling of software reliability Download PDF EPUB FB2

Kevin Murphy's Machine Learning: A Probabilistic Perspective is a wonderful book which begins with the basics of statistical modeling followed by more advanced topics, including graphical models. The add on here is that it comes with MATLAB code f.

Reliability is an essential concept in mathematics, computing, research, and all disciplines of engineering, and reliability as a characteristic is, in fact, a probability.

Therefore, in this book, the author uses the statistical approach to reliability modelling along with the MINITAB software package to provide a comprehensive treatment of. Software Reliability reviews some fundamental issues of software reliability as well as the techniques, models, and metrics used to predict the reliability of software.

Topics covered include fault avoidance, fault removal, and fault tolerance, along with statistical methods for the objective assessment of predictive accuracy. This book summarizes the recent advances in software reliability modelling.

Almost all the existing models are classified and the most interesting models are described in detail. Because of the application of software in many industrial, military and commercial systems, software reliability has become an important research area.

This book summarizes the recent advances in software reliability modelling. Almost all the existing models are classified and the most interesting models are described in detail. Because of the application of software in many industrial, military and commercial systems, software reliability has become an important research by:   It provides a broad overview of current research activities in reliability theory and its applications.

There are chapters on reliability modelling, network and system reliability, reliability optimization, survival analysis, degradation and maintenance modelling, and software reliability. The authors are all leading experts in the field.

Therefore, in this book, the author uses the statistical approach to reliability modelling along with the MINITAB software package Statistical modelling of software reliability book provide a comprehensive treatment of modelling, from the basics through advanced modelling book begins by presenting a thorough grounding in the elements of modelling the lifetime of a single, non Cited by: This book summarizes the recent advances in software reliability modelling.

Almost all the existing models are classified and the most interesting models are described in e of the application of software in many industrial, military and commercial systems, software reliability has become an important research area.

Although there are many models and results. Statistical Modeling and Assessment of Software Reliability Louis Richard Camara ABSTRACT The present study is concerned with developing some statistical models to evaluate and analyze software reliability.

We have developed the analytical structure of the logistic model to be used for testing and evaluating the reliability of a software package. Reliability engineering is a sub-discipline of systems engineering that emphasizes dependability in the lifecycle management of a ility describes the ability of a system or component to function under stated conditions for a specified period of time.

Reliability is closely related to availability, which is typically described as the ability of a component or system to function at. This is the first of two books on the statistical theory of reliability and life testing. The present book concentrates on probabilistic aspects of reliability theory, while the forthcoming book will focus on inferential aspects of reliability and life testing, applying the probabilistic tools developed in this volume.

This book emphasizes the newer, research aspects of reliability theory. Amstat News asked three review editors to rate their top five favorite books in the September tical Methods for Reliability Data was among those chosen. Bringing statistical methods for reliability testing in line with the computer age This volume presents state-of-the-art, computer-based statistical methods for reliability data analysis and test planning for industrial Cited by: Subsequently, on this book, the author makes use of the statistical technique to reliability modelling along with the MINITAB software package deal deal to supply an entire treatment of modelling, from the basics by way of superior modelling strategies.

Prior to modelling, an exploratory analysis of the data is often useful as it may highlight interesting features of the data that can be incorporated into a statistical analysis. Figure 1 is the result of a call to the high level lattice function Size: 4MB. Statistical Analysis Handbook A Comprehensive Handbook of Statistical Concepts, Techniques and Software Tools electronic book and web-accessible formats only.

Disclaimer: This publication is designed to offer accurate and authoritative information in regard to Statistical Software Test Datasets and data archives File Size: 1MB.

INTRODUCTION TO STATISTICAL MODELLING IN RStatistical Laboratory, University of Cambridge. January 7, R is available as Free Software under the terms of the Free Software Foundation’s to the text-book Modern Applied Statistics with S-plus, by es andpub Springer.

Software reliability is a key part in software quality. The study of software reliability can be categorized into three parts: modeling, measurement and improvement. Software reliability modeling has matured to the point that meaningful results can be obtained by applying suitable models to the problem.

A Brief description of Software reliability. Software reliability 1. LT CDR PABITRA KUMAR PANDA M TECH (RE), IIT KGP 11 AUG SOFTWARE RELIABILITY. ABSTRACT: The present study is concerned with developing some statistical models to evaluate and analyze software reliability.

We have developed the analytical structure of. Introduction to software reliability Elements of software reliability modelling Markov models Nonhomogeneous Poisson process (NHPP) models Some static models Bayesian analysis and modelling Some statistical data analysis techniques Determination of optimum release time Recent advances in software.

control software operating on a transient mission. Software execution is simulated to study the statistical aspects of reliability and other failure charactefistcs of the software during development, testing, and random usage.

Quantification of software reliability is a major goal. Various reliability concepts are discussed.Therefore, in this book, the author uses the statistical approach to reliability modelling along with the MINITAB software package to provide a comprehensive treatment of modelling, from the basics through advanced modelling techniques.

The book begins by presenting a thorough grounding in the elements of modelling the lifetime of a single, non.Reliability of a software is defined in [9] as a measure of the conti nuous delivery of the correct service by the software under a specified environment. This is a measure of the tim e to : James Ledoux.