The Art and Science of Analyzing Software Data, Christian Bird

Автор: Thayer
Название: Software engineering project management
ISBN: 0818680008 ISBN-13(EAN): 9780818680007
Издательство: Wiley
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Цена: 111880.00 T
Наличие на складе: Поставка под заказ.
Описание: Newly revised for 2001, this second edition of Richard Thayer's popular, bestselling book presents a top-down, practical view of managing a successful software engineering project. The book builds a framework for project management activities based on the planning, organizing, staffing, directing, and controlling model. Thayer provides information designed to help you understand and successfully perform the unique role of a project manager.

This book is a must for all project managers in the software field. The text focuses on the five functions of general management by first describing each function and then detailing the project management activities that support each function. This second edition shows you how to manage a software development project, discusses current software engineering management methodologies and techniques, and presents general descriptions and project management problems. The book serves as a guide for your future project management activities. The text also offers students sufficient background and instructional material to serve as a main or supplementary text for a course in software engineering project management.

Note: The 2001 revision includes a new Chapter 4 Introduction and a new paper that replaces an older paper.

Название: Large Scale and Big Data
ISBN: 1138033944 ISBN-13(EAN): 9781138033948
Издательство: Taylor&Francis
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Цена: 56130.00 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.

Автор: Jacobson
Название: The Road to the Unified Software Development Process
ISBN: 0521787742 ISBN-13(EAN): 9780521787741
Издательство: Cambridge Academ
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Цена: 66530.00 T
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Описание: This book provides an excellent overview of Ivar Jacobson`s work on the Unified Software Development Process.

Автор: Singh & Kaur
Название: Designing, Engineering, And Analyzing Reliable And Efficient Software
ISBN: 1466629584 ISBN-13(EAN): 9781466629585
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Due to the role of software systems in safety-critical applications and in the satisfaction of customers and organisations, the development of efficient software engineering is essential.<br><br><em>Designing, Engineering, and Analyzing Reliable and Efficient Software</em> discusses and analyses various designs, systems, and advancements in software engineering. With its coverage on the integration of mathematics, computer science, and practices in engineering, this book highlights the importance of ensuring and maintaining reliable software and is an essential resource for practitioners, professors and students in these fields of study.

Автор: Meisen
Название: Analyzing Time Interval Data
ISBN: 3658157275 ISBN-13(EAN): 9783658157272
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Philipp Meisen introduces a model, a query language, and a similarity measure enabling users to analyze time interval data. The introduced tools are combined to design and realize an information system. The presented system is capable of performing analytical tasks (avoiding any type of summarizability problems), providing insights, and visualizing results processing millions of intervals within milliseconds using an intuitive SQL-based query language. The heart of the solution is based on several bitmap-based indexes, which enable the system to handle huge amounts of time interval data.

Автор: Joaquim Filipe; Boris Shishkov; Markus Helfert; Le
Название: Software and Data Technologies
ISBN: 3540886540 ISBN-13(EAN): 9783540886549
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the papers of the Second International Conference on Software and Data Technologies, ICSOFT 2007, held in Barcelona, Spain, in July 2007, in conjunction with ENASE, the Evaluation of Novel Approaches to Software Engineering working conference. This book features sections on programming languages, and distributed and parallel systems.

Автор: Jos? Cordeiro; Boris Shishkov; AlpeshKumar Ranchor
Название: Software and Data Technolgoies
ISBN: 3642052002 ISBN-13(EAN): 9783642052002
Издательство: Springer
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Цена: 83850.00 T
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Описание: This book contains the best papers of the Third International Conference on Software and Data Technologies (ICSOFT 2008), held in Porto, Portugal, which was organized by the Institute for Systems and Technologies of Information, Communication and Control (INSTICC), co-sponsored by the Workflow Management Coalition (WfMC), in cooperation with the Interdisciplinary Institute for Collaboration and Research on Enterprise Systems and Technology (IICREST). The purpose of ICSOFT 2008 was to bring together researchers, engineers and practitioners interested in information technology and software development. The conference tracks were "Software Engineering", "Information Systems and Data Management", "Programming Languages", "Distributed and Parallel Systems" and "Knowledge Engineering". Being crucial for the development of information systems, software and data te- nologies encompass a large number of research topics and applications: from imp- mentation-related issues to more abstract theoretical aspects of software engineering; from databases and data-warehouses to management information systems and kno- edge-base systems; next to that, distributed systems, pervasive computing, data qu- ity and other related topics are included in the scope of this conference.

Автор: Tim Menzies
Название: Perspectives on Data Science for Software Engineering
ISBN: 0128042060 ISBN-13(EAN): 9780128042069
Издательство: Elsevier Science
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Цена: 57250.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "

Perspectives on Data Science for Software Engineering" presents the best practices of seasoned data miners in software engineering. The idea for this book was created during the 2014 conference at Dagstuhl, an invitation-only gathering of leading computer scientists who meet to identify and discuss cutting-edge informatics topics. At the 2014 conference, the concept of how to transfer the knowledge of experts from seasoned software engineers and data scientists to newcomers in the field highlighted many discussions.

While there are many books covering data mining and software engineering basics, they present only the fundamentals and lack the perspective that comes from real-world experience. This book offers unique insights into the wisdom of the community s leaders gathered to share hard-won lessons from the trenches. Ideas are presented in digestible chapters designed to be applicable across many domains.

Topics included cover data collection, data sharing, data mining, and how to utilize these techniques in successful software projects. Newcomers to software engineering data science will learn the tips and tricks of the trade, while more experienced data scientists will benefit from war stories that show what traps to avoid.
Presents the wisdom of community experts, derived from a summit on software analyticsProvides contributed chapters that share discrete ideas and technique from the trenchesCovers top areas of concern, including mining security and social data, data visualization, and cloud-based dataPresented in digestible chapters designed to be applicable across many domains"