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Extended results of the paper "A Text Classification Approach to API Type Resolution for Incomplete Code Snippets"

appsOther research productkeyboard_double_arrow_right Other ORP type 18 Apr 2022Publisher:Zenodo
Authors: Velázquez-Rodríguez, Camilo; Di Nucci, Dario; De Roover, Coen;

doi: 10.5281/zenodo.6467612 , 10.5281/zenodo.7276757 , 10.5281/zenodo.7276558 , 10.5281/zenodo.6467613

Extended results of the paper "A Text Classification Approach to API Type Resolution for Incomplete Code Snippets"

Abstract

The compressed file contains the results for the first research question of the paper "A Text Classification Approach to API Type Resolution for Incomplete Code Snippets". More specifically, the zipped file groups the results of the 10-fold cross-validation made for both COSTER and RESICO. Also, in the folder are the trained models on the 50K-C Java projects from GitHub (http://mondego.ics.uci.edu/projects/jbf/). We kept both the results and models for both COSTER and RESICO in case anyone is interested in the replication or utilisation of this information.

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Keywords

machine learning, text classification, stack overflow, fully qualified name resolution

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citations
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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).
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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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