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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