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Extending Refactoring Detection to Kotlin: A Dataset and Comparative Study

Authors: Hemati Moghadam, Iman; Mohammad Mehdi, Afkhami; Kamalipour, Parsa; Vadim, Zaytsev;

Extending Refactoring Detection to Kotlin: A Dataset and Comparative Study

Abstract

This page serves as supplementary material for the article Extending Refactoring Detection to Kotlin: A Dataset and Comparative Study. In detail, we offer a downloadable dataset in JSON format, comprising 2,043 instances of refactoring instances covering 21 distinct refactoring types. These refactorings are applied within 200 commits across 10 Kotlin repositories and are manually validated by the authors of the paper. Results.json: The results as a single JSON file. Overview of JSON Template: Each entry in this file provides details about commits, including their SHA-1 hash, GitHub URL, and an exhaustive list of refactorings identified in that specific commit. Refactorings are defined by their type (e.g., 'RenameClass') and are accompanied by detailed descriptions of the refactoring. Additionally, the entry specifies the tools that detected the refactoring, such as 'RefDetect' and 'KotlinRMiner.' The validation field indicates whether the refactoring was confirmed, using 'TP' for true positive and 'FP' for false positive. Optional comments and validator information may be also included. AllCommits.zip: The Results for each repository in a single JSON file. Times.xlsx: The Excel file containing the time taken by each tool (RefDetect and KotlinMiner) to identify refactoring in each commit. Results.xlsx: The Excel file contains precision, recall, and F-score metrics for all identified refactoring types.

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citations
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!
0
Average
Average
Average
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