Knowledge Graphing Git Repositories: A Preliminary Study

Yanjie Zhao, Haoyu Wang, Lei Ma, Yuxin Liu, Li Li, John Grundy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Knowledge Graph, being able to connect information from a variety of sources, has become very famous in recent years since its creation in 2012 by Google. Researchers in our community have leveraged Knowledge Graph to achieve various purposes such as improving API caveats accessibilities, generating answers to developer questions, and reasoning common software weaknesses, etc. In this work, we would like to leverage the knowledge graph concept for helping developers and project managers to comprehend software repositories. To this end, we design and implement a prototype tool called GitGraph, which takes as input a Git repository and constructs automatically a knowledge graph associated with the repository. Our preliminary experimental results show that GitGraph can correctly generate knowledge graphs for Git projects and the generated graphs are also useful for users to comprehend the projects. More specifically, the knowledge graph, on one hand, provides a graphic interface that users can interactively explore the integrated artefacts such as commits and changed methods, while on the other hand, provides a convenient means for users to search for advanced relations between the different artefacts.

Original languageEnglish
Title of host publicationSANER 2019 - Proceedings of the 2019 IEEE 26th International Conference on Software Analysis, Evolution, and Reengineering
EditorsEmad Shihab, David Lo, Xinyu Wang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages599-603
Number of pages5
ISBN (Electronic)9781728105918
DOIs
Publication statusPublished - Mar 15 2019
Externally publishedYes
Event26th IEEE International Conference on Software Analysis, Evolution, and Reengineering, SANER 2019 - Hangzhou, China
Duration: Feb 24 2019Feb 27 2019

Publication series

NameSANER 2019 - Proceedings of the 2019 IEEE 26th International Conference on Software Analysis, Evolution, and Reengineering

Conference

Conference26th IEEE International Conference on Software Analysis, Evolution, and Reengineering, SANER 2019
CountryChina
CityHangzhou
Period2/24/192/27/19

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Software
  • Computational Theory and Mathematics

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  • Cite this

    Zhao, Y., Wang, H., Ma, L., Liu, Y., Li, L., & Grundy, J. (2019). Knowledge Graphing Git Repositories: A Preliminary Study. In E. Shihab, D. Lo, & X. Wang (Eds.), SANER 2019 - Proceedings of the 2019 IEEE 26th International Conference on Software Analysis, Evolution, and Reengineering (pp. 599-603). [8668034] (SANER 2019 - Proceedings of the 2019 IEEE 26th International Conference on Software Analysis, Evolution, and Reengineering). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SANER.2019.8668034