Description
This book is about scientific software design and how to make software that is both scalable and object-oriented. The authors argue that the structure of a software package determines its developmental complexity, and that this complexity impacts solution cost and time more than does performance. They introduce object-oriented software design patterns in the context of scientific simulation and discuss how these patterns can help make software more scalable.
This book concerns software design. Although many current discussions of scientific programming focus on scalable performance, this book focuses on scalable design. The authors analyze how the structure of a package determines its developmental complexity according to such measures as bug search times and documentation information content. The work presents arguments for why these issues impact solution cost and time more than does scalable performance. The final chapter explores the question of scalable execution and shows how scalable design relates to scalable execution. The book's focus is on program organization, which has received considerable attention in the broader software engineering community, where graphical description standards for modeling software structure and behavior have been developed by computer scientists. These discussions might be enriched by engineers who write scientific codes. This book aims to bring such scientific programmers into discussion with computer scientists. The authors do so by introducing object-oriented software design patterns in the context of scientific simulation.
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