Towards an Automated Classification of Software Libraries

URN to cite this document:: urn:nbn:de:bvb:355-epub-582687
DOI to cite this document:: 10.5283/epub.58268

Auch, Maximilian

; Balluff, Maximilian ; Mandl, Peter

; Wolff, Christian

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 15 May 2024 05:42

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Item type:	Article
Open Access Type:	CC-License
Journal or Publication Title:	SN Computer Science
Publisher:	Springer
Volume:	5
Number of Issue or Book Chapter:	4
Date:	27 March 2024
Institutions:	Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff) Informatics and Data Science > Department Human-Centered Computing > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff)
Keywords:	Software libraries · Java · Classifcation · Machine learning · Recurrent neural network
Dewey Decimal Classification:	000 Computer science, information & general works > 004 Computer science
Status:	Published
Refereed:	Yes, this version has been refereed
Created at the University of Regensburg:	Partially
Item ID:	58268

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Abstract

Nowadays, the use of third-party libraries in software is common. At the same time, the number of published libraries continues to increase. An automated classification should help to maintain an overview and identify similar software libraries. This paper investigates if new approaches can be used to classify all software libraries crawled from Apache Maven repositories into defined classes ...