Focusing on management and decision-making practices, this book presents an integrated approach to developing effective solutions tailored to user and customer needs. It emphasizes the blending of software development life cycle (SDLC) methodologies to enhance the creation of successful outcomes in software projects.
"This book provides a thorough introduction and survey to all aspects of analysis, including design of E-commerce systems, and how it fits into the software engineering process. The material is based on successful professional courses offered at Columbia University to a diverse audience of advanced students and professionals. An emphasis is placed on the stages of analysis and the presentation of many alternative modeling tools that an analyst can utilize. Particular attention is paid to interviewing, modeling tools, and approaches to building effective Web-based E-commerce systems." "The book is a valuable resource and guide for all information systems students, practitioners, and professionals who need an in-depth understanding of the principles of the analysis and design process."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved
The CIO dilemma -- IT drivers and supporters -- The strategic advocacy mindset -- Real-world case studies -- Implications for personal development -- Digital transformation and business strategy -- Integrating Gen Y talent -- Creating a cyber security culture -- The non-IT CIO of the future -- New directions for the CIO of the future
This book presents a guide to navigating the complicated issues of quality and process improvement in enterprise software implementation, and the effect these have on the software development life cycle (SDLC). Offering an integrated approach that includes important management and decision practices, the text explains how to create successful automated solutions that fit user and customer needs, by mixing different SDLC methodologies. With an emphasis on the realities of practice, the book offers essential advice on defining business requirements, and managing change. This revised and expanded second edition includes new content on such areas as cybersecurity, big data, and digital transformation. Features: presents examples, case studies, and chapter-ending problems and exercises; concentrates on the skills needed to distinguish successful software implementations; considers the political and cultural realities in organizations; suggests many alternatives for how to manage and model a system.
5G, IoT, Blockchain, and Quantum Computing
This book serves as a comprehensive guide for integrating applications within legacy systems, covering analysis, design, and implementation. It addresses the evolving requirements of next-generation software architectures, particularly in relation to the Internet of Things (IoT), cybersecurity, blockchain, cloud technologies, and quantum computing. As 5G wireless technology advances, transitioning legacy applications into new architectures becomes essential for businesses competing in a consumer-driven economy. Many organizations struggle with the complexities of shifting from centralized database systems to decentralized, networked environments. The next generation of software must operate independently across diverse devices and wireless networks, requiring a transformation of databases into linked list-based blockchain architectures. This involves critical decisions about data processing within the blockchain versus cloud systems. Additionally, aggregating data across extensive networks for predictive analysis poses significant challenges. Organizations will likely continue using packaged and open-source products, which must seamlessly integrate into new architectures while ensuring cyber compliance. The book outlines the roles of stakeholders, including IT departments, users, and vendors, and offers a step-by-step approach to enhance the success of re-engineering applications and selecting third-party products, making it v
In any software project the analysis stage - documenting and designing requirements to meet the needs of the prospective users - is vital to the success of the project. This book provides a thorough introduction to analysis and where it fits into the software engineering process. The author applies his many years of experience both as a manager of software projects and as a consultant to numerous companies to illustrate succesful techniques and to identify potential pitfalls. The book is based on courses offered at Columbia University to a diverse audience of students and professionals. Throughout, the author is concerned to emphasize the stages of analysis and to identify many alternative modelling tools that an analyst can use. Particular emphasis is placed on Joint Application Development and on prototyping. Readers are assumed to have a reasonable understanding of computer concepts and terminology, and so this will be suitable for a first-level analysis course or it can be used by information systems professionals who need an in-depth understanding of the principles of the analysis and design process.