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Evaluating software refactoring tool support

Authors: Erica Mealy; Paul A. Strooper;

Evaluating software refactoring tool support

Abstract

Up to 75% of the costs associated with the development of software systems occur post-deployment during maintenance and evolution. Software refactoring is a process that can significantly reduce the costs associated with software evolution. Refactoring is defined as internal modification of source code to improve system quality, without change to observable behaviour Tool support for software refactoring attempts to further reduce evolution costs by automating manual, error-prone and tedious tasks. Although the process of refactoring is well-defined, tools supporting refactoring do not support the full process. Existing tools suffer from issues associated with the level of automation, the stages of the refactoring process supported or automated, the subset of refactorings that can be applied, and complexity of the supported refactorings. This paper presents a framework for evaluating software refactoring tool support based on the DESMET method. For the DESMET application, a functional analysis of the requirements for supporting software refactoring is used in conjunction with a case study. This evaluation was completed to assess the support provided by six Java refactoring tools and to evaluate the efficacy of using the DESMET method for evaluating refactoring tools.

Related Organizations
Keywords

E1, 280302 Software Engineering, 700102 Application tools and system utilities, Computer Science, Computer Science, Software Engineering

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
19
Top 10%
Top 10%
Average
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