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Dynamic software metrices

Authors: Schikuta, Erich;

Dynamic software metrices

Abstract

In this paper a dynamic approach to measure the coupling of software systems is proposed. The conventionally used static measures are only limited suitable for the evaluation and characterization of such systems. We extend the static methodology with a dynamic component and define new measures based on this approach. A model for system characterization based on varying execution profiles is given. The layout of an automated monitor system is presented, which can be directly integrated into a software development system.

Country
Austria
Related Organizations
Keywords

102022 Softwareentwicklung, 102022 Software development

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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