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ZENODO
Article . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Article . 2020
License: CC BY
Data sources: ZENODO
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ML 4 Security Points in OSS Microservices Systems: Dataset and Script

descriptionPublicationkeyboard_double_arrow_right Article 24 May 2020Publisher:Zenodo

doi: 10.5281/zenodo.3842996

ML 4 Security Points in OSS Microservices Systems: Dataset and Script

Abstract

ML 4 Security Points in OSS Microservices Systems: Dataset and Script annotation_data.zip: contains the three following folders: main_study: 7818 annotated paragraphs. The annotation is described in Section 2.2 dataset1: 250 annotated paragraphs related to microservices-based projects. The annotation is described in Section 4.5 dataset2: 250 annotated paragraphs related to projects that we have no information about their architecture. The annotation is described in Section 4.5 open source microservices systems.zip: contains the answers of core contributors that verified 10 projects based on microservices architecture on GitHub. raw_data.zip: contains original issues extracted from 10 MSA-based projects on GitHub. scripts.zip: contains one folder used to generate the feature extraction process. Security_words.zip: contains 374 security keywords that are related to open source projects based on microservices architecture on GitHub.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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