Data

Tools

Indexes

Applications

Experiments

Open Source Science

splitbrain

A research system to automate splitting PRs into smaller PRs.

https://github.com/google/splitbrain

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.6%) to scientific vocabulary

Keywords

abstract-syntax-tree developer-tools productivity research-paper
Last synced: 4 months ago · JSON representation ·

Repository

A research system to automate splitting PRs into smaller PRs.

Basic Info
  • Host: GitHub
  • Owner: google
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 374 KB
Statistics
  • Stars: 20
  • Watchers: 2
  • Forks: 1
  • Open Issues: 3
  • Releases: 0
Topics
abstract-syntax-tree developer-tools productivity research-paper
Created almost 4 years ago · Last pushed over 2 years ago
Metadata Files
Readme Contributing License Citation

README.md

Splitbrain: Automatic PR Splitting

Splitbrain is a research system aiming to compute disjoint changelists from a single code diff, and apply them to a user's workspace.

The motivation of this work follows from the intuition that smaller CLs have many benefits:

  • Faster turnaround time in code reviews
  • Smaller, atomic units of code committed in each CL
  • Easier to rollback
  • Less blocking on any particular code review
  • and more...

This repository contains a series of tools and experiments designed to further understand this relationship, however it is not a usable tool and is exclusively an algorithmic research system.

Overview

At a high level, Splitbrain interprets a subset of the Bazel and Kythe graphs relevant to a single CL, and builds a linear chain of CLs based on structure of the original CL.

For example, a medium sized code change with 250 LoC could split into 5 changes of 50 LoC each.

These changes can be reviewed and potentially submitted in parallel.

Documentation

The original design doc is bundled with the source code. See docs/DESIGN.md for details.

Build & Test

Splitbrain uses bazel as it's build system.

Quick start:

bazel build //... && bazel test //...

Contributing

See CONTRIBUTING.md for details.

License

Apache 2.0; see LICENSE for details.

Disclaimer

This project is not an official Google project. It is not supported by Google and Google specifically disclaims all warranties as to its quality, merchantability, or fitness for a particular purpose.

Owner

  • Name: Google
  • Login: google
  • Kind: organization
  • Email: opensource@google.com
  • Location: United States of America

Google ❤️ Open Source

Citation (CITATION.cff) 

cff-version: 1.2.0
title: Splitbrain
message: 'To cite splitbrain in publications use:'
type: software
authors:
  - given-names: Cameron
    family-names: Brown
    email: cambr@google.com
    website: http://cameronbrown.co.uk
url: https://github.com/google/splitbrain
abstract: A research system to automate splitting PRs into smaller PRs.
keywords:
  - changelist
  - abstract syntax tree
  - bazel
  - kythe
  - programming languages
license: MIT

GitHub Events

Total
  • Watch event: 5
Last Year
  • Watch event: 5

Committers

Last synced: 4 months ago

All Time
  • Total Commits: 18
  • Total Committers: 1
  • Avg Commits per committer: 18.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
GreenishBlue c****r@g****m 18
Committer Domains (Top 20 + Academic)
google.com: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 0
  • Total pull requests: 17
  • Average time to close issues: N/A
  • Average time to close pull requests: about 1 month
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.35
  • Merged pull requests: 13
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
  • thinkallabout (17)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

requirements.txt pypi
  • absl-py *
  • google-benchmark *
  • networkx *
  • protobuf *
  • pydot *
.github/workflows/python-package.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • arduino/setup-protoc v1 composite