Software Engineering for Science

Software Engineering for ScienceReviews
Author: J. Carver, N. Hong, G. Thiruvathukal
Pub Date: 2016
ISBN: 978-1498743853
Pages: 310
Language: English
Format: PDF
Size: 12 Mb

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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.

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Table of Contents

1 Software Process for Multiphysics Multicomponent Codes
2 A Rational Document Driven Design Process for Scientific Software
3 Making Scientific Software Easier to Understand, Test, and Communicate through Software Engineering
4 Testing of Scientific Software: Impacts on Research Credibility, Development Productivity, Maturation, and Sustainability
5 Preserving Reproducibility through Regression Testing
6 Building a Function Testing Platform for Complex Scientific Code
7 Automated Metamorphic Testing of Scientific Software
8 Evaluating Hierarchical Domain-Specific Languages for Computational Science: Applying the Sprat Approach to a Marine Ecosystem Model
9 Providing Mixed-Language and Legacy Support in a Library: Experiences of Developing PETSc
10 HydroShare – A Case Study of the Application of Modern Software Engineering to a Large Distributed Federally-Funded Scientific Software Development Project