Название: Recent Advancements in Software Reliability Assurance Автор: Adarsh Anand, Mangey Ram
Издательство: CRC Press
Год: 2019
Страниц: 155
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB
The aim of this book is to provide a platform to academicians, practitioners, and researchers to understand current and future trends in software reliability growth modeling. Emphasis will be on qualitative work relevant to the theme with particular importance given to mathematical modeling for software reliability and various methods and applications of multi attributed decision making in governing the software performance.
The topics covered are organized as follows:
Chapter 1 discusses the determination of complexity of code changes due to the addition of new features, feature improvement, and bug fixing.
Chapter 2 is about stochastic effort estimation modeling that considers quality, cost, and delivery based on maintenance efforts for open source software project management.
Chapter 3 presents a software reliability model for a dynamic development environment.
Vulnerabilities in a software are a major risk to any software firm and if exploited they may cause a massive breach of data and information. Therefore, in Chapter 4, a mathematical framework to model the fixation of vulnerabilities, which are interdependent in nature, is presented.
Change-point is a well-established concept in software reliability studies. Chapter 5 discusses change-point–based software reliability modeling and its application for software development management.
The software upgrading process tends to add more features at frequent time points that lead to an increase in the fault content in the software. Hence, software developers have to continuously check these faults along with the leftover faults from the previous releases. Chapter 6 provides an alternative approach to understand this methodical framework.
Chapter 7 discusses assessing software reliability enhancement achievable through testing.
Presents software quality and security models
Offers reliability analysis, assurance techniques for software systems
Covers methodologies, tools, and practical applications of software reliability modeling and testing resources
Includes robust reliability design techniques, diagnostic, and decision support
Discusses stochastic modelling for software systems
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