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arXiv.org e-Print Archive
Preprint . 2003
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https://doi.org/10.1109/scam.2...
Article . 2004 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2003
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Power law distributions in class relationships

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Conference object 01 Mar 2004Embargo end date: 01 May 2003Publisher:IEEE Comput. SocJournal:Proceedings Third IEEE International Workshop on Source Code Analysis and Manipulation
Authors: Richard Wheeldon; Steve Counsell;

doi: 10.1109/scam.2003.1238030 , 10.48550/arxiv.cs/0305037

arXiv: cs/0305037

Power law distributions in class relationships

Abstract

Power law distributions have been found in many natural and social phenomena, and more recently in the source code and run-time characteristics of Object-Oriented (OO) systems. A power law implies that small values are extremely common, whereas large values are extremely rare. In this paper, we identify twelve new power laws relating to the static graph structures of Java programs. The graph structures analyzed represented different forms of OO coupling, namely, inheritance, aggregation, interface, parameter type and return type. Identification of these new laws provide the basis for predicting likely features of classes in future developments. The research in this paper ties together work in object-based coupling and World Wide Web structures.

To appear in proceedings of Third IEEE International Workshop on Source Code Analysis and Manipulation. 10 pages, 10 figures. Minor errors fixed

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Keywords

Software Engineering (cs.SE), FOS: Computer and information sciences, D.1.5;D.2.8;D.3.3;K.6.2, Computer Science - Software Engineering, D.1.5, D.3.3, K.6.2, D.2.8

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    popularity
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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!
66
Top 10%
Top 1%
Top 10%
Green