Results 191 to 200 of about 3,923,394 (245)

A perspective on software science

IBM Systems Journal, 1981
This paper provides an overview of a new approach to the measurement of software. The measurements are based on the count of operators and operands contained in a program. The measurement methodologies are consistent across programming language barriers.
Ken Christensen 0001, George P. Fitsos, Charles P. Smith   +2 more
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Software Engineering for Computational Science [PDF]

, 2019
Despite the increasing importance of in silico experiments to the scientific discovery process, state-of-the-art software engineering practices are rarely adopted in computational science. To understand the underlying causes for this situation and to identify ways to improve it, we conducted a literature survey on software engineering practices in ...
Arne N. Johanson, Wilhelm Hasselbring
openaire   +1 more source

Dynamic Software Science with Applications

IEEE Transactions on Software Engineering, 1979
Two disciplines have been developed during the past few years for the study of computer software. Software physics has as its purpose the analysis of execution characteristics of programs. Basic measures of software work, time, and shortage occupancy are used to derive measures such as power, capacity usage, and storage work, with applications to the ...
R. R. Oldehoeft, Leonard J. Bass
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The Art and Science of Software Architecture

International Journal of Cooperative Information Systems, 2007
Experience in all aspects of software engineering has confirmed the pivotal role of focusing on architectural concerns in the development of complex software-intensive systems. Consequently, the past 20 years has seen significant investments in the theory and practice of software architecture.
Alan W. Brown, John Alexander McDermid
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Software — A performing science?

Annals of Software Engineering, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A critical examination of software science

Journal of Systems and Software, 1981
The claims that software science could provide an empirical basis for the rationalization of all forms of algorithm description are shown to be invalid from a formal point of view. In particular, the conjectured dichotomy between operators and operands is shown not to hold over a wide class of languages.
Jean-Louis Lassez, Dirk van der Knijff, John Shepherd 0001, Catherine Lassez   +3 more
openaire   +1 more source

Software Engineering and Computational Science

Computing in Science & Engineering, 2009
There's a wide gulf between what computational scientists need and what software engineers do.
Greg Wilson, Andrew Lumsdaine
openaire   +1 more source

Science of software changes

Tenth Asia-Pacific Software Engineering Conference, 2003., 2004
Software is subject to change. Changes come from many sources. It has to change as its infrastructure has been changed. It has to change as its functionality has to be augmented. It has to change as new algorithms are found which will increase it performance.
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Further remarks on software science

Journal of Systems and Software, 1989
Reponse des auteurs de «Resolving the software science anomaly» aux critiques formulees par Keller-McNulty et ...
David N. Card, William W. Agresti
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Software Science Applied to APL

IEEE Transactions on Software Engineering, 1985
Previous attempts to apply Halstead's software metrics to APL have led to inconsistent and counter-intuitive results. This work is a further investigation into the application of software metrics to APL to try to resolve some of the inconsistency. The effect of variations in the counting rules on values calculated for the software metrics was studied ...
Aaron H. Konstam, Donald E. Wood
openaire   +1 more source