Difference between revisions of "Clustering Source Code Elements by Semantic Similarity Using Wikipedia"

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[[Category:Scientific works]]

Latest revision as of 02:23, 24 May 2020


Clustering Source Code Elements by Semantic Similarity Using Wikipedia
Authors
Mirco Schindler
Oliver Fox
Andreas Rausch
Publication date
2015
DOI
10.1109/RAISE.2015.10
Links
Original Preprint

Clustering Source Code Elements by Semantic Similarity Using Wikipedia - scientific work related to Wikipedia quality published in 2015, written by Mirco Schindler, Oliver Fox and Andreas Rausch.

Overview

For humans it is no problem to determine if two words have a high or low semantic similarity in a given context. But is it possible to support a software developer or architect by using semantic data extracted from source code in the same way other relations like typical source code relations do? To answer this question authors developed an approach to compute the semantic similarity by using Wikipedia as a textual corpus. In a case study authors demonstrate this approach with a manageable software system. The results of using semantic similarities are compared with the outcome of using source code relations instead.

Embed

Wikipedia Quality

Schindler, Mirco; Fox, Oliver; Rausch, Andreas. (2015). "[[Clustering Source Code Elements by Semantic Similarity Using Wikipedia]]".DOI: 10.1109/RAISE.2015.10.

English Wikipedia

{{cite journal |last1=Schindler |first1=Mirco |last2=Fox |first2=Oliver |last3=Rausch |first3=Andreas |title=Clustering Source Code Elements by Semantic Similarity Using Wikipedia |date=2015 |doi=10.1109/RAISE.2015.10 |url=https://wikipediaquality.com/wiki/Clustering_Source_Code_Elements_by_Semantic_Similarity_Using_Wikipedia}}

HTML

Schindler, Mirco; Fox, Oliver; Rausch, Andreas. (2015). &quot;<a href="https://wikipediaquality.com/wiki/Clustering_Source_Code_Elements_by_Semantic_Similarity_Using_Wikipedia">Clustering Source Code Elements by Semantic Similarity Using Wikipedia</a>&quot;.DOI: 10.1109/RAISE.2015.10.