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arXiv · 1006.1747

On the Detection of High-Impact Refactoring Opportunities in Programs

Jens Dietrich·Catherine McCartin·Ewan Tempero·Syed M. Ali Shah
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Abstract

We present a novel approach to detect refactoring opportunities by measuring the participation of references between types in instances of patterns representing design flaws. This technique is validated using an experiment where we analyse a set of 95 open-source Java programs for instances of four patterns representing modularisation problems. It turns out that our algorithm can detect high impact refactorings opportunities - a small number of references such that the removal of those references removes the majority of patterns from the program.

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Jens Dietrich, Catherine McCartin, Ewan Tempero, Syed M. Ali Shah. 2011-03-16. On the Detection of High-Impact Refactoring Opportunities in Programs. https://arxiv.org/abs/1006.1747

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