Building Software


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Building Software


Building Software

Author: Nikhilesh Krishnamurthy

language: en

Publisher: CRC Press

Release Date: 2007-09-07


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Providing a framework to guide software professionals through the many aspects of development, Building Software: A Practitioner's Guide shows how to master systems development and manage many of the soft and technical skills that are crucial to the successful delivery of systems and software. It encourages tapping into a wealth of cross-domain and legacy solutions to overcome common problems, such as confusion about requirements and issues of quality, schedule, communication, and people management. The book offers insight into the inner workings of software reliability along with sound advice on ensuring that it meets customer and organizational needs.

Building Software for Simulation


Building Software for Simulation

Author: James J. Nutaro

language: en

Publisher: John Wiley & Sons

Release Date: 2011-03-23


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Building Software for Simulation A unique guide to the design and implementation of simulation software This book offers a concise introduction to the art of building simulation software, collecting the most important concepts and algorithms in one place. Written for both individuals new to the field of modeling and simulation as well as experienced practitioners, this guide explains the design and implementation of simulation software used in the engineering of large systems while presenting the relevant mathematical elements, concept discussions, and code development. The book approaches the topic from the perspective of Zeigler’s theory of modeling and simulation, introducing the theory’s fundamental concepts and showing how to apply them to engineering problems. Readers will learn five necessary skills for building simulations of complicated systems: Working with fundamental abstractions for simulating dynamic systems Developing basic simulation algorithms for continuous and discrete event models Combining continuous and discrete event simulations into a coherent whole Applying strategies for testing a simulation Understanding the theoretical foundations of the modeling constructs and simulation algorithms The central chapters of the book introduce, explain, and demonstrate the elements of the theory that are most important for building simulation tools. They are bracketed by applications to robotics, control and communications, and electric power systems; these comprehensive examples clearly illustrate how the concepts and algorithms are put to use. Readers will explore the design of object-oriented simulation programs, simulation using multi-core processors, and the integration of simulators into larger software systems. The focus on software makes this book particularly useful for computer science and computer engineering courses in simulation that focus on building simulators. It is indispensable reading for undergraduate and graduate students studying modeling and simulation, as well as for practicing scientists and engineers involved in the development of simulation tools.

Building Software Teams


Building Software Teams

Author: Joost Visser

language: en

Publisher: "O'Reilly Media, Inc."

Release Date: 2016-12-12


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Why does poor software quality continue to plague enterprises of all sizes in all industries? Part of the problem lies with the process, rather than individual developers. This practical guide provides ten best practices to help team leaders create an effective working environment through key adjustments to their process. As a follow-up to their popular book, Building Maintainable Software, consultants with the Software Improvement Group (SIG) offer critical lessons based on their assessment of development processes used by hundreds of software teams. Each practice includes examples of goalsetting to help you choose the right metrics for your team. Achieve development goals by determining meaningful metrics with the Goal-Question-Metric approach Translate those goals to a verifiable Definition of Done Manage code versions for consistent and predictable modification Control separate environments for each stage in the development pipeline Automate tests as much as possible and steer their guidelines and expectations Let the Continuous Integration server do much of the hard work for you Automate the process of pushing code through the pipeline Define development process standards to improve consistency and simplicity Manage dependencies on third party code to keep your software consistent and up to date Document only the most necessary and current knowledge