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Metrics for evaluating concern separation and composition

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 13 Mar 2005 Italy Publisher:ACMJournal:Proceedings of the 2005 ACM symposium on Applied computing
Authors: DI STEFANO, Antonella; FARGETTA M; PAPPALARDO, Giuseppe; TRAMONTANA, EMILIANO ALESSIO;

doi: 10.1145/1066677.1066989

handle: 20.500.11769/74998

Metrics for evaluating concern separation and composition

Abstract

This paper discusses an approach to evaluating the separation of concerns for an object-oriented software system. For assessing this separation, the developer is asked to specify the nature of classes through annotations. Automatic identification of some structural characteristics (e.g., inheritance, libraries, synchronisation) is used to appraise the composition and intertwining of concerns inside a class.

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Italy
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    citations
    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).
    		 5
    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.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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citations
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!
5
Average
Average
Average
Related to Research communities
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