Auch, Maximilian and Weber, Manuel and Mandl, Peter and Wolff, Christian (2020) Similarity-based analyses on software applications: A systematic literature review. JOURNAL OF SYSTEMS AND SOFTWARE, 168: 110669. ISSN 0164-1212, 1873-1228
Full text not available from this repository. (Request a copy)Abstract
In empirical studies on processes, practices, and techniques of software engineering, automation and machine learning are gaining popularity. In order to extract knowledge from existing software projects, a sort of similarity analysis is often performed using different methodologies, data and metadata. This systematic literature review focuses therefore on existing approaches of similarity-, categorization-and relevance-based analysis on software applications. In total, 136 relevant publications and patents were identified between 2002 and 2019 according to the established inclusion and exclusion criteria, which perform a calculation of software similarity in general or to support certain software engineering phases. (C) 2020 Elsevier Inc. All rights reserved.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | AUTOMATIC CATEGORIZATION; PROJECTS; CLASSIFICATION; BYTECODE; Software similarity; Secondary study; Machine learning |
| Subjects: | 000 Computer science, information & general works > 004 Computer science 000 Computer science, information & general works > 020 Library & information sciences |
| Divisions: | Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Medieninformatik |
| Depositing User: | Petra Gürster |
| Date Deposited: | 20 Apr 2021 09:11 |
| Last Modified: | 20 Apr 2021 09:11 |
| URI: | https://pred.uni-regensburg.de/id/eprint/43730 |
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