Analyzing the Tower of Babel with Kaiaulu

Carlos Paradis (Corresponding author), Rick Kazman, Damian Tamburri

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)
2 Downloads (Pure)

Abstract

Context: An extensive body of work has examined socio-technical activities in software development; however, the availability of tools to enable these studies is limited. Aim: We extend Kaiaulu, a software package for Mining Software Repositories to enable a broad spectrum analysis of Social Smells and Motifs. Methods: We perform a literature review to identify what tools are available which implement graph construction methods and social smell metrics, contextualizing the contributions of our tool. Results: The few tools identified in the literature either leverage fewer parts of the software ecosystem, have been archived, or depend on components no longer maintained. Conclusion: The socio-technical features in Kaiaulu complement existing tools and related literature, while providing a simple architecture to facilitate ease or use, and ease of learning, benefitting reproducibility. Tool Repository: github.com/sailuh/kaiaulu

Original languageEnglish
Article number111967
Number of pages10
JournalJournal of Systems and Software
Volume210
DOIs
Publication statusPublished - Apr 2024

Bibliographical note

Publisher Copyright:
© 2024 Elsevier Inc.

Keywords

  • Gitlog
  • Identity-matching
  • Issue-tracker
  • Mailing-list
  • Mining-software-repositories
  • Networks
  • Socio-smells
  • Socio-technical smells
  • Tools

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