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Process Design for Natural Scientists : An Agile Model-Driven Approach / edited by Anna-Lena Lamprecht, Tiziana Margaria.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Lamprecht, Anna-Lena, editor.
Margaria-Steffen, Tiziana, 1964- editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Communications in computer and information science 1865-0929 ; 500.
Communications in Computer and Information Science, 1865-0929 ; 500
Language:
English
Subjects (All):
Computers.
Software engineering.
Computer simulation.
Application software.
Database management.
Models and Principles.
Software Engineering.
Simulation and Modeling.
Information Systems Applications (incl. Internet).
Database Management.
Local Subjects:
Models and Principles.
Software Engineering.
Simulation and Modeling.
Information Systems Applications (incl. Internet).
Database Management.
Physical Description:
1 online resource (X, 253 pages) : 129 illustrations.
Edition:
First edition 2014.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
System Details:
text file PDF
Summary:
This book presents an agile and model-driven approach to manage scientific workflows. The approach is based on the Extreme Model Driven Design (XMDD) paradigm and aims at simplifying and automating the complex data analysis processes carried out by scientists in their day-to-day work. Besides documenting the impact the workflow modeling might have on the work of natural scientists, this book serves three major purposes: 1. It acts as a primer for practitioners who are interested to learn how to think in terms of services and workflows when facing domain-specific scientific processes. 2. It provides interesting material for readers already familiar with this kind of tools, because it introduces systematically both the technologies used in each case study and the basic concepts behind them. 3. As the addressed thematic field becomes increasingly relevant for lectures in both computer science and experimental sciences, it also provides helpful material for teachers that plan similar courses.
Other Format:
Printed edition:
ISBN:
978-3-662-45006-2
9783662450062
Access Restriction:
Restricted for use by site license.

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