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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1109/ifcsta...
Article . 2009 . Peer-reviewed
License: STM Policy #29
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The Research on Software Metrics and Software Complexity Metrics

Authors: Tu Honglei; Sun Wei; Zhang Yanan;

The Research on Software Metrics and Software Complexity Metrics

Abstract

The process of software development, including documentation, design, program, test, and maintenance can be measured statistically. Therefore the quality of software can be monitored efficiently. Software metrics is very important in research of software engineering and it has developed gradually. In this paper, software metrics definition were given and the history of and the types of software metrics were overviewed. Software complexity measuring is the important constituent of software metrics and it is concerning the cost of software development and maintenance. In order to improve the software quality and the project controllability, it is necessary to control the software complexity by measuring the related aspects. This paper respectively expounds McCabe methods and C & K metric method for examples of complexity metrics

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    influence
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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!
37
Top 10%
Top 10%
Average
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