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Pre-print.pdf

MSR2023JiraIssuesDataset.pdf
Preview of Pre-print
🔗 Source: issel.ee.auth.gr
📊 Size: 250 KB
📄 Pages: 5 pages
⬇️ Downloads: 466

Summary

Researchers from Aristotle University of Thessaloniki developed a system to crawl and analyze Jira issue tracking data from the Apache Software Foundation, extracting useful semantics using topic modeling and storing them in a practical database schema. The dataset comprises over a million issues from approximately 650 projects, with tools available for reproducibility and a MongoDB dump for easy setup and querying. The system consists of two modules: the Jira Apache Downloader, which retrieves issues and stores them in a Mongo database, and the Jira Topic Extractor, which uses BERTopic to extract topics and semantically enrich the issue data.

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Description

Researchers from Aristotle University of Thessaloniki developed a system to crawl and analyze Jira issue tracking data from the Apache Software Foundation,...

Technical Information

  • File Format: PDF
  • File Size: 250 KB
  • Pages: 5
  • Language: EN
  • Total Downloads: 466
  • Last Updated: 2 weeks ago

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