Global Software Development (GSD) is a software development process undertaken at geographically separated location across national boundaries.Due to the economic and strategic effects of GSD, it is treated as a substitute to a single site. The geographically dispersed environment makes software development a complicated task and brings out several challenges such as geographical, socio-cultural and temporal distances. The process of Requirements Change Management (RCM) in the GSD is thought to be puzzling. Due to effect of geographical, socio-cultural and temporal distances, various communication risks arise among the distributed team members during the process of RCM. Communication risk is a threat of damage to communication process in GSD that is caused by external or internal vulnerabilities. In this Book communication risks have been discussed along with their causes and effects that hinder the effectiveness of GSD projects. Moreover mitigation practices to resolve communication risks have also been discussed.

This book focusses on the identification of communication risks, their causes and effects and the practices to mitigate the risks from both state of the art and state of the practice perspectives. It's like puzzle solving game. According to Casey "Communication is one the biggest issue that cause due to geographical, temporal and socio-cultural distances". At the end of the book authors provide set of recommendations based on the best practices that need to be followed by the globally distributed organizations to achieve communicated environment just like co-located settings.

Managing risk is essential for every organization. However, significant opportunities may be lost by concentrating on the negative aspects of risk without bearing in mind the positive attributes. The objective of Project Risk Management: Managing Software Development Risk is to provide a distinct approach to a broad range of risks and rewards associated with the design, development, implementation and deployment of software systems. The traditional perspective of software development risk is to view risk as a negative characteristic associated with the impact of potential threats. The perspective of this book is to explore a more discerning view of software development risks, including the positive aspects of risk associated with potential beneficial opportunities. A balanced approach requires that software project managers approach negative risks with a view to reduce the likelihood and impact on a software project, and approach positive risks with a view to increase the likelihood of exploiting opportunities. Project Risk Management: Managing Software Development Risk explores software development risk both from a technological and business perspective. Issues regarding strategies for software development are discussed and topics including risks related to technical performance, outsourcing, cybersecurity, scheduling, quality, costs, opportunities and competition are presented. Bringing together concepts across the broad spectrum of software engineering with a project management perspective, this volume represents both a professional and scholarly perspective on the topic.

Very few software projects are completed on time, on budget, and to their original specification causing the global IT software industry to lose billions each year in project overruns and reworking software. Research supports that projects usually fail because of management mistakes rather than technical mistakes. Risk Management in Software Development Projects focuses on what the practitioner needs to know about risk in the pursuit of delivering software projects. Risk Management in Software Development Projects will help all practicing IT Project Managers and IT Managers understand: * Key components of the risk management process * Current processes and best practices for software risk identification * Techniques of risk analysis * Risk Planning * Management processes and be able to develop the process for various organizations

Economics and technology have dramatically re-shaped the landscape of software development. It is no longer uncommon to find a software development team dispersed across countries or continents. Geographically distributed development challenges the ability to clearly communicate, enforce standards, ensure quality levels, and coordinate tasks. Globa

More software engineers are likely to work in a globally distributed environment, which brings benefits that include quick and better software development, less manpower retention, scalability, and less software development cost and sharing of knowledge from the global pool of employees. However, these work environments also introduce a physical separation between team members and project leaders, which can create problems in communication and ultimately lead to the failure of the project. Human Factors in Global Software Engineering is a collection of innovative research focusing on the challenges, issues, and importance of human factors in global software engineering organizations in order to help these organizations better manage their manpower and provide an appropriate culture and technology in order to make their software development projects successful. While highlighting topics including agile software, knowledge management, and human-computer interaction, this book is ideally designed for project managers, administrators, business professionals, researchers, practitioners, students, and academicians.

This book addresses extensible and adaptable computing, a broad range of methods and techniques used to systematically tackle the future growth of systems and respond proactively and seamlessly to change. The book is divided into five main sections: Agile Software Development, Data Management, Web Intelligence, Machine Learning and Computing in Education. These sub-domains of computing work together in mutually complementary ways to build systems and applications that scale well, and which can successfully meet the demands of changing times and contexts. The topics under each track have been carefully selected to highlight certain qualitative aspects of applications and systems, such as scalability, flexibility, integration, efficiency and context awareness. The first section (Agile Software Development) includes six contributions that address related issues, including risk management, test case prioritization and tools, open source software reliability and predicting the change proneness of software. The second section (Data Management) includes discussions on myriad issues, such as extending database caches using solid-state devices, efficient data transmission, healthcare applications and data security. In turn, the third section (Machine Learning) gathers papers that investigate ML algorithms and present their specific applications such as portfolio optimization, disruption classification and outlier detection. The fourth section (Web Intelligence) covers emerging applications such as metaphor detection, language identification and sentiment analysis, and brings to the fore web security issues such as fraud detection and trust/reputation systems. In closing, the fifth section (Computing in Education) focuses on various aspects of computer-aided pedagogical methods.