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Refactoring Steps, Java Refactorings and Empirical Evidence

Authors: Steve Counsell; Stephen Swift;

Refactoring Steps, Java Refactorings and Empirical Evidence

Abstract

While we can determine the likely testing effort of a single refactoring through simple visual inspection, the inter-relationships between many of the seventy- two refactorings mean that a chain of refactorings and hence a chain of tests may be required for completion of each. In this paper, we establish the properties of, and the inter-relationships between, fourteen of the seventy-two refactorings described in Fowler from a testing chain perspective. We provide an empirical analysis of those refactorings and their associated testing chains. We also inform our understanding of testing effort with recourse to refactoring data from 7 Java OSS.

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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!
1
Average
Average
Average
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