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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Developing Deep Learning Approaches to Find and Classify Architectural Design Decisions in Issue Tracking Systems

Authors: Maarleveld, Jesse; Dekker, Arjan;

Developing Deep Learning Approaches to Find and Classify Architectural Design Decisions in Issue Tracking Systems

Abstract

This upload contains three files: mongodump-JiraRepos_2023-03-07-16 00.archive: Archive containing the issue data pulled from the Jira API. mongodump-MiningDesignDecisions.archive: Archive containing the data of our deep learning models and the labelled issues. mongodump-MiningDesignDecisions-lite.archive: Similar to the archive above, except this one only contains the best trained model (BERT). Also, it does not contain any embeddings or other files. This archive contains the data of our deep learning models and the labelled issues (MiningDesignDecisions archive).

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
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11