Software Engineering for Science (Chapman & Hall / CRC Computational Science) - Softcover

 
9780367574277: Software Engineering for Science (Chapman & Hall / CRC Computational Science)

Inhaltsangabe

This book provides computational scientists and engineers with a reference book containing information about the best software engineering practices to employ in the development of computational software. The book contains case studies and real world examples of the use of these practices, through contributions from key people in the field.

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Über die Autorin bzw. den Autor

Jeffrey Carver is an Associate Professor at the University of Alabama, Tuscaloosa. His research focus on improving the quality and reliability of software through the use of Empirical Software Engineering. He is an Editorial Board Member of the Empirical Software Engineering Journal, Information and Software Technology Journal, and Software Quality Journal. He regularly organizes workshops on Software Engineering for Computational Science and Engineering. Neil Chue Hong is the founding Director of the Software Sustainability Institute at the University of Edinburgh. Graduating with an MPhys in Computational Physics from the University of Edinburgh, he began his career at EPCC, becoming Project Manager there in 2003. During this time he led the Data Access and Integration projects (OGSA-DAI and DAIT), and collaborated in many e-Science projects, including the EU FP6 NextGRID project. George Thiruvathukal is a Professor at Loyola University, Chicago. He holds a Ph.D. in Computer Science from the Illinois Institute of Technology in Chicago, Illinois. He attended there from 1988-1995, where he also completed the M.S. in 1990. In industry, Dr. Thiruvathukal worked as a member of the technical staff at Tellabs and R.R. Donnelley and Sons Technical (Research) Center. where he was a software development manager working in their Metromail division, which is now a part of Experian, on advanced research and development

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9781498743853: Software Engineering for Science (Chapman & Hall/Crc Computational Science)

Vorgestellte Ausgabe

ISBN 10:  1498743854 ISBN 13:  9781498743853
Verlag: Taylor & Francis Inc, 2016
Hardcover