Some Software Reliability Models

Nikolay Pavlov

ISBN 10: 6139828058 / ISBN 13: 9786139828050

Published by LAP LAMBERT Academic Publishing Apr 2018, 2018

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Within the hierarchical models in the procedure for quantifying the quality of software products, an important role is played by the so-called computational method based on the theoretical and empirical dependencies, statistical data accumulated during tests, exploitation and the accompaniment of the program product. An important measure of reliability assessment (completeness, accuracy and consistency) is the so-called metric (asymptotic metrics). There are two main approaches to testing: structured and functional. We will only note that, depending on the test data selected and the expected results, testing is divided into: deterministic testing and stochastic testing. In this book, we pay particular attention to both deterministic approaches and probability models for debugging theories. Some of the models have been tested with real-world data. A Hausdorff metric was chosen to evaluate the test data which are fitted to the sigmoid models proposed in this book. Some of the existing cumulative probability distributions are considered in the light of modern debugging and test theories. We propose a software modules within the programming environment CAS Mathematica for the analysis.Books on Demand GmbH, Überseering 33, 22297 Hamburg 124 pp. Englisch.

Seller Inventory # 9786139828050

Bibliographic Details

• Title: Some Software Reliability Models
• Publisher: LAP LAMBERT Academic Publishing Apr 2018
• Publication Date: 2018
• Language: English
• ISBN 10: 6139828058
• ISBN 13: 9786139828050
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 9D millimeters 220 millimeters width by 150 millimeters height by 9 millimeters depth
• Weight: 203 grams

About this title

Synopsis

Within the hierarchical models in the procedure for quantifying the quality of software products, an important role is played by the so-called computational method based on the theoretical and empirical dependencies, statistical data accumulated during tests, exploitation and the accompaniment of the program product. An important measure of reliability assessment (completeness, accuracy and consistency) is the so-called metric (asymptotic metrics). There are two main approaches to structured and functional. We will only note that, depending on the test data selected and the expected results, testing is divided deterministic testing and stochastic testing. In this book, we pay particular attention to both deterministic approaches and probability models for debugging theories. Some of the models have been tested with real-world data. A Hausdorff metric was chosen to evaluate the test data which are fitted to the sigmoid models proposed in this book. Some of the existing cumulative probability distributions are considered in the light of modern debugging and test theories. We propose a software modules within the programming environment CAS Mathematica for the analysis.