Topic-based integrator matching for pull request

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

doi:10.1109/GLOCOM.2017.8254426

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 proceeding › Conference contribution

10 Citations (Scopus)

214 Downloads (Pure)

Abstract

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 language	English
Title of host publication	GLOBECOM 2017 IEEE Global Communications Conference
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781509050192
DOIs	https://doi.org/10.1109/GLOCOM.2017.8254426
Publication status	Published - 15 Jan 2018

Keywords

pull request
integrator matching
GitHub
open source project
LDA

ASJC Scopus subject areas

Artificial Intelligence
Signal Processing
Hardware and Architecture
Computer Networks and Communications

Documents and Links

10.1109/GLOCOM.2017.8254426

Liao, Z. et al (2018) Topic-Based Integrator Matching for Pull Request
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Author accepted manuscript, 597 KB

Cite this

@inproceedings{de33313617924422ba175d59b9045f64,

title = "Topic-based integrator matching for pull request",

abstract = "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.",

keywords = "pull request, integrator matching, GitHub, open source project, LDA",

author = "Zhifang Liao and Yanbing Li and Dayu He and Jinsong Wu and Yan Zhang and Xiaoping Fan",

note = "Acceptance in SAN AAM: author confirmed version 26-7-18 Exception form sent No ISSN found for output, out of policy scope. ST 13/11/19",

year = "2018",

month = jan,

day = "15",

doi = "10.1109/GLOCOM.2017.8254426",

language = "English",

pages = "1--6",

booktitle = "GLOBECOM 2017 IEEE Global Communications Conference",

publisher = "IEEE",

address = "United States",

}

TY - GEN

T1 - Topic-based integrator matching for pull request

AU - Liao, Zhifang

AU - Li, Yanbing

AU - He, Dayu

AU - Wu, Jinsong

AU - Zhang, Yan

AU - Fan, Xiaoping

N1 - Acceptance in SAN AAM: author confirmed version 26-7-18 Exception form sent No ISSN found for output, out of policy scope. ST 13/11/19

PY - 2018/1/15

Y1 - 2018/1/15

N2 - 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.

AB - 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.

KW - pull request

KW - integrator matching

KW - GitHub

KW - open source project

KW - LDA

U2 - 10.1109/GLOCOM.2017.8254426

DO - 10.1109/GLOCOM.2017.8254426

M3 - Conference contribution

SP - 1

EP - 6

BT - GLOBECOM 2017 IEEE Global Communications Conference

PB - IEEE

ER -

Topic-based integrator matching for pull request

Abstract

Keywords

ASJC Scopus subject areas

Documents and Links

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