Software Engineering for Science

Regular price €59.99
Quantity:
Ships in 10-20 days
Delivery/Collection within 10-20 working days
Shipping & Delivery
automation
Category=UB
Category=UKC
Category=UM
Category=UMZ
code quality assurance
code review
computational science
Cryptic Compartment
distributed systems
DSL
DSL Engineering
Earth System Modeling Framework
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Fortran Compiler
Function Unit Testing
high performance computing
Infectious Host
Initial Test Case
Modern Software Engineering
multicore computing
Multiphysics Codes
numerical modelling techniques
open source reproducibility
PCM Temperature
PDE Solver
Professional Software Engineers
Regression Test Suite
Regression Testing
research software practices
Scientific Codes
scientific data analysis
Scientific Software
Scientific Software Development
Seir Model
Software Engineering Practices
System Level Tests
Test Driven Development
Test Oracle
Test Suite
testing
testing methodologies in scientific computing
Traditional Fortran

Product details

  • ISBN 9780367574277
  • Weight: 570g
  • Dimensions: 156 x 234mm
  • Publication Date: 30 Jun 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
Secure checkout Fast Shipping Easy returns

Software Engineering for Science provides an in-depth collection of peer-reviewed chapters that describe experiences with applying software engineering practices to the development of scientific software. It provides a better understanding of how software engineering is and should be practiced, and which software engineering practices are effective for scientific software.

The book starts with a detailed overview of the Scientific Software Lifecycle, and a general overview of the scientific software development process. It highlights key issues commonly arising during scientific software development, as well as solutions to these problems.

The second part of the book provides examples of the use of testing in scientific software development, including key issues and challenges. The chapters then describe solutions and case studies aimed at applying testing to scientific software development efforts.

The final part of the book provides examples of applying software engineering techniques to scientific software, including not only computational modeling, but also software for data management and analysis. The authors describe their experiences and lessons learned from developing complex scientific software in different domains.

About the Editors

Jeffrey Carver is an Associate Professor in the Department of Computer Science at the University of Alabama. He is one of the primary organizers of the workshop series on Software Engineering for Science (http://www.SE4Science.org/workshops).

Neil P. Chue Hong is Director of the Software Sustainability Institute at the University of Edinburgh. His research interests include barriers and incentives in research software ecosystems and the role of software as a research object.

George K. Thiruvathukal is Professor of Computer Science at Loyola University Chicago and Visiting Faculty at Argonne National Laboratory. His current research is focused on software metrics in open source mathematical and scientific software.

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