Enhancing Code Refactoring Detection with Explanations from Commit Messages

Our dataset is stored in (.csv) format. There are four projects included (Derby, Drools, Groovy, Infinispan) . Each project contains 5 columns: commit_id (type: ID) commit_date (type: DATE) message (type: TEXT) refactoring_class (type: TEXT) refactoring_type (type: TEXT) The last two columns represent the labels of our data. refactoring_class column has two binary values: "ref" and "nonref" (i.e., commit message has been identified as either refactoring related or non-refactoring related). refactoring_type column represents 12 different refactoring types detected for those commit messages from "ref" class. The 12 refactoring types found across 4 projects are: Encapsulate Field Extract Class Extract Method Extract Subclass Hide Method Move Class Move Field Move Method Add Parameter Remove Parameter Rename Class Rename Method

Related Organizations

University of Notre Dame
United States

Keywords

Refactoring, Commit Message, Classification

Impact byBIP!

	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).	0
	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.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average