Managing Large Systems examines a range of human, organizational, and managerial challenges associated with large systems. Special attention is given to the behavioral relationships among scientists and engineers, business and technical managers, sponsor organizations and their contractors, business and government officials, and line and functional managers.The descriptions of problems of technical organization and performance motivation are based primarily on an extended field study of the National Aeronautics and Space Administration. Managing Large Systems includes a description of the unique management system developed by NASA under the leadership of James Webb that many believe was responsible for their extraordinary technological achievements that culminated in the first moon landing. Parallels are drawn to other large-scale technology programs in aerospace and atomic energy.The authors find traditional managerial principles regarding controls, incentive systems, and planning to be inadequate in the context of large systems. They look to organizational clusters to manage future projects in advanced technological areas and in public sectors such as urban development, massive medical programs, and ecological improvements.

Managing Large Systems examines a wide range of human, organizational, and managerial challenges associated with large systems. Special attention is given to the behavioral relationships among scientists and engineers, business and technical managers, sponsor organizations and their contractors, business and government offi cials, and line and functional managers.

A human-centric guide to solving complex problems in engineering management, from sizing teams to handling technical debt. There’s a saying that people don’t leave companies, they leave managers. Management is a key part of any organization, yet the discipline is often self-taught and unstructured. Getting to the good solutions for complex management challenges can make the difference between fulfillment and frustration for teams—and, ultimately, between the success and failure of companies. Will Larson’s An Elegant Puzzle focuses on the particular challenges of engineering management—from sizing teams to handling technical debt to performing succession planning—and provides a path to the good solutions. Drawing from his experience at Digg, Uber, and Stripe, Larson has developed a thoughtful approach to engineering management for leaders of all levels at companies of all sizes. An Elegant Puzzle balances structured principles and human-centric thinking to help any leader create more effective and rewarding organizations for engineers to thrive in.

Model Management and Analytics for Large Scale Systems covers the use of models and related artefacts (such as metamodels and model transformations) as central elements for tackling the complexity of building systems and managing data. With their increased use across diverse settings, the complexity, size, multiplicity and variety of those artefacts has increased. Originally developed for software engineering, these approaches can now be used to simplify the analytics of large-scale models and automate complex data analysis processes. Those in the field of data science will gain novel insights on the topic of model analytics that go beyond both model-based development and data analytics. This book is aimed at both researchers and practitioners who are interested in model-based development and the analytics of large-scale models, ranging from big data management and analytics, to enterprise domains. The book could also be used in graduate courses on model development, data analytics and data management. - Identifies key problems and offers solution approaches and tools that have been developed or are necessary for model management and analytics - Explores basic theory and background, current research topics, related challenges and the research directions for model management and analytics - Provides a complete overview of model management and analytics frameworks, the different types of analytics (descriptive, diagnostics, predictive and prescriptive), the required modelling and method steps, and important future directions

Written by one of the best known object-oriented practitioners in the business, Process Patterns is based on proven, real-world techniques. Scott Ambler shows readers how to successfully deliver large-scale applications using object technology and carefully describes how one develops applications that are truly easy to maintain and to enhance. He shows how such projects can be supported and points out what is necessary to ensure that one's development efforts are of the best quality. His object-oriented software process (OOSP) is geared toward medium to large-size organizations that need to internally develop software to support their main line of business. Developers and project managers who have just taken their first OO development course will find this book essential. It describes the only OOSP to take the true needs of development into consideration, including cross-project, maintenance, operations, and support issues. This book uses the Unified Modeling Language (UML).

This timely book provides you with a solid understanding of battery management systems (BMS) in large Li-Ion battery packs, describing the important technical challenges in this field and exploring the most effective solutions. You find in-depth discussions on BMS topologies, functions, and complexities, helping you determine which permutation is right for your application. Packed with numerous graphics, tables, and images, the book explains the OC whysOCO and OC howsOCO of Li-Ion BMS design, installation, configuration and troubleshooting. This hands-on resource includes an unbiased description and comparison of all the off-the-shelf Li-Ion BMSs available today. Moreover, it explains how using the correct one for a given application can help to get a Li-Ion pack up and running in little time at low cost."

Many organizations critically depend on very large information systems. In the authors' experience these organizations often struggle to find the right strategy to sustainably develop their systems. Based on their own experience at a major bank, over more than a decade, the authors have developed a successful strategy to deal with these challenges, including: - A thorough analysis of the challenges associated with very large information systems - An assessment of possible strategies for the development of these systems, resulting in managed evolution as the preferred strategy - Describing key system aspects for the success of managed evolution, such as architecture management, integration architecture and infrastructure - Developing the necessary organizational, cultural, governance and controlling mechanisms for successful execution