Managing Complexity In Software Engineering

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Managing Complexity in Software Engineering

This book covers complex software engineering projects, new paradigms for system development, object-orientated design and formal methods, project management and automation perspectives.
Managing Complexity

Managing Complexity is the first book that clearly defines the concept of Complexity, explains how Complexity can be measured and tuned, and describes the seven key features of Complex Systems: ConnectivityAutonomyEmergencyNonequilibriumNon-linearitySelf-organisationCo-evolution The thesis of the book is that complexity of the environment in which we work and live offers new opportunities and that the best strategy for surviving and prospering under conditions of complexity is to develop adaptability to perpetually changing conditions. An effective method for designing adaptability into business processes using multi-agent technology is presented and illustrated by several extensive examples, including adaptive, real-time scheduling of taxis, see-going tankers, road transport, supply chains, railway trains, production processes and swarms of small space satellites. Additional case studies include adaptive servicing of the International Space Station; adaptive processing of design changes of large structures such as wings of the largest airliner in the world; dynamic data mining, knowledge discovery and distributed semantic processing. Finally, the book provides a foretaste of the next generation of complex issues, notably, The Internet of Things, Smart Cities, Digital Enterprises and Smart Logistics.
Adaptive Software Development

Author: James A. Highsmith
language: en
Publisher: Dorset House Publishing Company, Incorporated
Release Date: 2000
- support an adaptive culture or mindset, in which change and uncertainty are assumed to be the natural state--not a false expectation of order- introduce frameworks to guide the iterative process of managing change- institute collaboration, the interaction of people on three levels: interpersonal, cultural, and structural- add rigor and discipline to the RAD approach, making it scalable to the uncertainty and complexity of real-life undertakings