Mitglied im:

Anmelden

News

22.04.2015
Mit großer Freude präsentiere ich Ihnen den Jahresbericht des...
16.07.2014
Promotionsvortrag von Dipl.-Wirt.-Inf. Björn Schindler am 21.07.2014 um 13:...
10.06.2014

Promotionsvortrag von M. Sc. Stefan Ruehl am 16.06.2014 um 10:00 Uhr

Mirco Schindler, Andreas Rausch, Oliver Fox

Clustering Source Code Elements by Semantic Similarity Using Wikipedia

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 we developed an approach to compute the semantic similarity by using Wikipedia as a textual corpus. In a case study we 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.

Seitenangaben

13-18

Jahr

2015

Monat

May

isbn

978-1-4673-7064-6/15

Booktitle

Proceedings of 4th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE)

Herausgeber

IEEE

doi

10.1109/RAISE.2015.10

Ort

Firenze, Italy

Datei

Schindler 2015 - Clustering Source Code Elements by Semantic Similarity using Wikipedia

Bibtex file

Download this publication as bibtex file

Forschungsvideos

16.07.2013
Scribbler: From Coll...
Scribbler is a paint program which supports only basic operations like...