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Improving Process of Source Code Modification Focusing on Repeated Code

Authors: Ayaka Imazato; Yui Sasaki; Yoshiki Higo; Shinji Kusumoto;

Improving Process of Source Code Modification Focusing on Repeated Code

Abstract

There are various kinds of repeated code such as consecutive if-else statements or case entries in program source code. Such repeated code sometimes require simultaneous modifications on all of its elements. Applying the same modifications to many places on source code is a burdensome work and introduces new bugs if some places to be modified are overlooked. For these reasons, it is necessary to support modifications on repeated code. Appropriate supports for repeated code can improve process of source code modification. In this paper, as a first step for supporting modifications on repeated code, we investigate how repeated code are modified during software evolution. As a result, we revealed that, 73-89% of repeated code were modified at least once in their life and 31-58% of modifications on repeated code were simultaneous ones for all of their elements.

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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!
3
Average
Average
Average
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