Topic-based integrator matching for pull request

Zhifang Liao, Yanbing Li, Dayu He, Jinsong Wu, Yan Zhang, Xiaoping Fan

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

    7 Citations (Scopus)
    117 Downloads (Pure)


    Pull Request (PR) is the main method for code contributions from the external contributors in GitHub. PR review is an essential part of open source software developments to maintain the quality of software. Matching a new PR for an appropriate integrator will make the PR reviewing more effective. However, PR and integrator matching are now organized manually in GitHub. To make this process more efficient, we propose a Topic-based Integrator Matching Algorithm (TIMA) to predict highly relevant collaborators(the core developers) as the integrator to incoming PRs . TIMA takes full advantage of the textual semantics of PRs. To define the relationships between topics and collaborators, TIMA builds a relation matrix about topic and collaborators. According to the relevance between topics and collaborators, TIMA matches the suitable collaborators as the PR integrator.
    Original languageEnglish
    Title of host publicationGLOBECOM 2017 IEEE Global Communications Conference
    Number of pages6
    ISBN (Electronic)9781509050192
    Publication statusPublished - 15 Jan 2018


    • pull request
    • integrator matching
    • GitHub
    • open source project
    • LDA


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