Adarsh Anand – författare

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 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 goal of this book is to provide a reference for applications of mathematical modelling in social media and related network analysis and offer a theoretically sound background with adequate suggestions for better decision-making.

Social Networks: Modelling and Analysis provides the essential knowledge of network analysis applicable to real-world data, with examples from today''s most popular social networks such as Facebook, Twitter, Instagram, YouTube, etc. The book provides basic notation and terminology used in social media and its network science. It covers the analysis of statistics for social network analysis such as degree distribution, centrality, clustering coefficient, diameter, and path length. The ranking of the pages using rank algorithms such as Page Rank and HITS are also discussed.

Written as a reference this book is for engineering and management students, research scientists, as well as academicians involved in complex networks, mathematical sciences, and marketing research.

The goal of this book is to provide a reference for applications of mathematical modelling in social media and related network analysis and offer a theoretically sound background with adequate suggestions for better decision-making.

Social Networks: Modelling and Analysis provides the essential knowledge of network analysis applicable to real-world data, with examples from today''s most popular social networks such as Facebook, Twitter, Instagram, YouTube, etc. The book provides basic notation and terminology used in social media and its network science. It covers the analysis of statistics for social network analysis such as degree distribution, centrality, clustering coefficient, diameter, and path length. The ranking of the pages using rank algorithms such as Page Rank and HITS are also discussed.

Written as a reference this book is for engineering and management students, research scientists, as well as academicians involved in complex networks, mathematical sciences, and marketing research.

This book provides an understanding of the concept of marketing and its role in business and public organization including the need for scientific marketing analysis.

It includes a variety of mathematical models applied for better decision making, promotional decisions in the presence of competition, and sales forecasting using an Operational Research (OR) approach. The book also provides a platform to academicians, practitioners, and researchers to gain understanding of marketing management concepts from an OR perspective.

This book offers relevant, international perspectives on techniques for market assessment under one canopy. It will be helpful for those who want to gain insight into understanding the managerial aspects from an OR analyst point of view and is a collaboration that contains plenty of related and valuable techniques used in real-life problems faced by industries.

This book provides an understanding of the concept of marketing and its role in business and public organization including the need for scientific marketing analysis.

It includes a variety of mathematical models applied for better decision making, promotional decisions in the presence of competition, and sales forecasting using an Operational Research (OR) approach. The book also provides a platform to academicians, practitioners, and researchers to gain understanding of marketing management concepts from an OR perspective.

This book offers relevant, international perspectives on techniques for market assessment under one canopy. It will be helpful for those who want to gain insight into understanding the managerial aspects from an OR analyst point of view and is a collaboration that contains plenty of related and valuable techniques used in real-life problems faced by industries.

This book is an overview of basics and other related fundamentals pertaining to software vulnerability discovery as a process. This collaboration of academia and industry disseminates various practical mathematical modeling-based tools and analytics used for vulnerability discovery.

A big challenge for software developers is producing and maintaining high quality offerings. Recent developments in both academia and industry have seen the devotion of many researchers to the security aspect of software systems. There are various instances where a security breech or more precisely a software vulnerability has led to the colossal loss of resources and, at times, human lives as well. The emergence of this naïve concept from the field of complex systems provides many new opportunities for the software security fraternity and has also raised many new exciting challenges. And so, of late, many practitioners have contributed to this domain.

Software Vulnerability Discovery Process: Concepts and Applications is not only for academicians, but also for those who need to understand nature of the vulnerabilities, like a vendor, a client in the domain of complex systems, and for understanding the patch management workflow. Along with these, anyone solving problems within the related application domains will benefit from this compilation.

This book provides the latest research advances in the field of system reliability assurance and engineering. It contains reference material for applications of reliability in system engineering, offering a theoretical sound background with adequate numerical illustrations.

Included are concepts pertaining to reliability analysis, assurance techniques and methodologies, tools, and practical applications of system reliability modeling and allocation. The collection discusses various soft computing techniques like artificial intelligence and particle swarm optimization approach for reliability assessment. Importance of differentiating between the optimal release time and testing stop time of the software has been explicitly discussed and presented in the book.

Features:

Overall, System Reliability Management: Solutions and Techniques is a collaborative and interdisciplinary approach for better communication of problems and solutions to increase the performance of the system for better utilization and resource management.

This book provides the latest research advances in the field of system reliability assurance and engineering. It contains reference material for applications of reliability in system engineering, offering a theoretical sound background with adequate numerical illustrations.

Included are concepts pertaining to reliability analysis, assurance techniques and methodologies, tools, and practical applications of system reliability modeling and allocation. The collection discusses various soft computing techniques like artificial intelligence and particle swarm optimization approach for reliability assessment. Importance of differentiating between the optimal release time and testing stop time of the software has been explicitly discussed and presented in the book.

Features:

Overall, System Reliability Management: Solutions and Techniques is a collaborative and interdisciplinary approach for better communication of problems and solutions to increase the performance of the system for better utilization and resource management.

This book provides application of multi criteria decision making techniques for managerial discretion. With this book, a concerted platform has been provided for several peers and other management organizations to understand and implement these tools and deal with the practical problems in a better way so as to provide more robust managerial decision making.

This book provides application of multi criteria decision making techniques for managerial discretion. With this book, a concerted platform has been provided for several peers and other management organizations to understand and implement these tools and deal with the practical problems in a better way so as to provide more robust managerial decision making.

This book is an overview of basics and other related fundamentals pertaining to software vulnerability discovery as a process. This collaboration of academia and industry disseminates various practical mathematical modeling-based tools and analytics used for vulnerability discovery.

A big challenge for software developers is producing and maintaining high quality offerings. Recent developments in both academia and industry have seen the devotion of many researchers to the security aspect of software systems. There are various instances where a security breech or more precisely a software vulnerability has led to the colossal loss of resources and, at times, human lives as well. The emergence of this naïve concept from the field of complex systems provides many new opportunities for the software security fraternity and has also raised many new exciting challenges. And so, of late, many practitioners have contributed to this domain.

Software Vulnerability Discovery Process: Concepts and Applications is not only for academicians, but also for those who need to understand nature of the vulnerabilities, like a vendor, a client in the domain of complex systems, and for understanding the patch management workflow. Along with these, anyone solving problems within the related application domains will benefit from this compilation.