Design structure and iterative release analysis of scientific software
Date
2012
Authors
Zulkarnine, Ahmed Tahsin
Journal Title
Journal ISSN
Volume Title
Publisher
Lethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer Science, c2012
Abstract
One of the main objectives of software development in scientific computing is efficiency.
Being focused on highly specialized application domain, important software quality metrics,
e.g., usability, extensibility ,etc may not be amongst the list of primary objectives.
In this research, we have studied the design structures and iterative releases of scientific
research software using Design Structure Matrix(DSM). We implemented a DSM partitioning
algorithm using sparse matrix data structure Compressed Row Storage(CRS), and
its timing was better than those obtained from the most widely used C++ library boost. Secondly,
we computed several architectural complexity metrics, compared releases and total
release costs of a number of open source scientific research software. One of the important
finding is the absence of circular dependencies in studied software which attributes to the
strong emphasis on computational performance of the code. Iterative release analysis indicates
that there might be a correspondence between “clustering co-efficient” and “release
rework cost” of the software.
Description
x, 87 leaves : ill. ; 29 cm
Keywords
Science -- Computer programs , Computer software -- Development , Computer software -- Testing , Sparse matrices