Qualitative Clustering of Software Repositories Based on Software Metrics-Reference-Cited by-同舟云学术

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Qualitative Clustering of Software Repositories Based on Software Metrics

Published:2023 Issue: Volume:11 Page:14716-14727
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Bugayenko Yegor¹,Daniakin Kirill²^ORCID,Farina Mirko³^ORCID,Kholmatova Zamira²,Kruglov Artem²^ORCID,Pedrycz Witold⁴^ORCID,Succi Giancarlo⁵

Affiliation:

1. Huawei Technologies, Moscow, Russia

2. Institute of Software Development and Engineering, Innopolis University, Innopolis, Russia

3. Institute of Human and Social Sciences, Innopolis University, Innopolis, Russia

4. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

5. Department of Computer Science and Engineering, University of Bologna, Bologna, Italy

Funder

Huawei Technologies

Theoretically Objective Measurements of Software Development Projects

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10042306.pdf?arnumber=10042306

Reference37 articles.

1. E-SC4R: Explaining Software Clustering for Remodularisation

2. Empirically detecting the Hype Cycle with the life cycle indicators: An exploratory analysis of three technologies

3. A comprehensive comparative study of clustering-based unsupervised defect prediction models

4. Hype cycles during socio-technical transitions: The dynamics of collective expectations about renewable energy in Germany

5. Ensemble clustering based approach for software architecture recovery

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