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Agile Methods. Large-Scale Development, Refactoring, Testing, and Estimation, Torgeir Dings?yr; Nils Brede Moe; Roberto Tonelli;


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Цена: 38670T
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Склад Америка: 70 шт.  
При оформлении заказа до: 31 мар 2025
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Автор: Torgeir Dings?yr; Nils Brede Moe; Roberto Tonelli;
Название:  Agile Methods. Large-Scale Development, Refactoring, Testing, and Estimation
Издательство: Springer
Классификация:
ISBN: 3319143573
ISBN-13(EAN): 9783319143576
Обложка/Формат: Paperback
Страницы: 210
Вес: 0.313 кг.
Дата издания: 12.12.2014
Серия: Lecture Notes in Business Information Processing
Язык: English
Размер: 234 x 156 x 12
Рейтинг:
Поставляется из: Германии
Описание: Part: Principles of Large-Scale Agile Development.- Towards Principles of Large-Scale Agile Development: A Summary of the Workshop at XP2014 and a Revised Research Agenda.- Characteristics and Principles of Scaled Agile.- Architecture in Large Scale Agile Development.- Industrial Challenges of Scaling Agile in Mass-Produced Embedded Systems.- Agile in Distress: Architecture to the Rescue.- Conventions for Coordinating Large Agile Projects.- Supporting a Large-Scale Lean and Agile Transformation by Defining Common Values.- A Model for Understanding When Scaling Agile Is Appropriate in Large Organizations.- Control in Software Project Portfolios: A Complex Adaptive Systems Approach.- Part: Refactoring & Testing.- A Measure of the Modularisation of Sequential Software Versions Using Random Graph Theory.- Refactoring Clustering in Java Software Networks.- Are Some Refactorings Attached to Fault-Prone Classes and Others to Fault-Free Classes?.- Capturing Software Evolution and Change through Code Repository Smells.- Considering Polymorphism in Change-Based Test Suite Reduction.- Part: Estimations in the 21st Century Software Engineering.- Effort Estimation in Agile Global Software Development Context.- Early Software Project Estimation the Six Sigma Way.

Large Scale and Big Data

Название: Large Scale and Big Data
ISBN: 1138033944 ISBN-13(EAN): 9781138033948
Издательство: Taylor&Francis
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Цена: 43870 T
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Описание:

Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the fundamental challenges associated with Big Data processing tools and techniques across a range of computing environments.

The book begins by discussing the basic concepts and tools of large-scale Big Data processing and cloud computing. It also provides an overview of different programming models and cloud-based deployment models. The book's second section examines the usage of advanced Big Data processing techniques in different domains, including semantic web, graph processing, and stream processing. The third section discusses advanced topics of Big Data processing such as consistency management, privacy, and security.

Supplying a comprehensive summary from both the research and applied perspectives, the book covers recent research discoveries and applications, making it an ideal reference for a wide range of audiences, including researchers and academics working on databases, data mining, and web scale data processing.

After reading this book, you will gain a fundamental understanding of how to use Big Data-processing tools and techniques effectively across application domains. Coverage includes cloud data management architectures, big data analytics visualization, data management, analytics for vast amounts of unstructured data, clustering, classification, link analysis of big data, scalable data mining, and machine learning techniques.


Coordination in Large-Scale Agile Software Development

Автор: Alexander Scheerer
Название: Coordination in Large-Scale Agile Software Development
ISBN: 3319553267 ISBN-13(EAN): 9783319553269
Издательство: Springer
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Цена: 88610 T
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Описание: This book explores coordination within and between teams in the context of large-scale agile software development, providing readers a deeper understanding of how coordinated action between teams is achieved in multiteam systems.


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