tsantalis/RefactoringMiner - Open Source PR Review Scorecard

C-Rank Grade: A (Welcoming) - 60/100

External PR Merge Rate: 70%

Response Time: -

First Timer Success: 71%

Frequently Asked Questions

Is tsantalis/RefactoringMiner welcoming to first-time open-source contributors?

tsantalis/RefactoringMiner has a recorded first-timer success rate of 71.4%. Repositories ranked A typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in tsantalis/RefactoringMiner respond to incoming external pull requests in approximately 0.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 60.0 C-Rank™ score (A Tier) represent?

The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 60.0 places tsantalis/RefactoringMiner in the A tier.

What is the external contributor pull request merge rate for tsantalis/RefactoringMiner?

The external contributor pull request merge rate for tsantalis/RefactoringMiner is 69.7%, based on public PR activity from non-core contributors.

Are there Good First Issues available in tsantalis/RefactoringMiner?

tsantalis/RefactoringMiner does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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tsantalis/RefactoringMiner

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InactiveA•Welcoming(60/100)Java

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
9.3/10
Patience Score
9.0/10
Nitpick Rate
30%

Highly welcoming maintainers in tsantalis/RefactoringMiner. Prompt code reviews with positive guidance for new contributors.

Top PR Submission Do's

  • •Ensure code complies with the project coding style
  • •Keep PRs scoped to a single concern
  • •Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit PRs without linking an issue
  • •Do not break existing tests without fixing them
  • •Do not mix unrelated refactors in a single PR
Response Velocity
-
No reviewer activity recorded

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
69.7%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
71.4%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
6 core
Highly collaborative maintainer core
Diagnostic Health HUD
69.7%
Merge Gauge
71.4%
1st-Timer
Community Vibe49/100

Embed C-Rank Badge

Show contributors that your repository actively reviews and merges external pull requests.

GetMerged C-Rank badge for tsantalis/RefactoringMiner
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/tsantalis/RefactoringMiner)](https://getmerged.abhishekco.de/tsantalis/RefactoringMiner?utm_source=github&utm_medium=badge)

Active Good First Issues (2)

View on GitHub

We currently have the required infrastructure to be able to setup the Eclipse CDT parser with external include header files. See commit 444b42c for more details This allows the parser to expand macro references and parse the preprocessed code instead of creating problem declaration nodes for parts of the code that cannot be parsed. This is especially helpful in test files, where most projects use the googletest framework and define their tests with macros, such as TEST(DynamicUpdateSliceOpTest, SimpleTestF32InPlaceInput) { DynamicUpdateSliceOpModel m({TensorType_FLOAT32, {3, 3}}, {TensorType_FLOAT32, {2, 1}}, {TensorType_INT32, {2}}); m.SetInput<float>({1, 2, 3, // 4, 5, 6, // 7, 8, 9}); m.SetUpdate<float>({-1, -2}); m.SetStartIndices<int32_t>({1, 1}); const int kInplaceInputTensorIdx = 0; const int kInplaceOutputTensorIdx = 0; const TfLiteTensor* input_tensor = m.GetIn

📅 Opened Aug 24, 2026💬 1 comment
Quality: 90/100Contribute

GumTree has an inherent limitation in matching the commas , when a single new element is added in a comma separated list. There are 3 instances of the same issue in the following commit: hyprwm/Hyprland@e820db9 src/desktop/rule/windowRule/WindowRuleEffectContainer.hpp src/desktop/rule/windowRule/WindowRuleEffectContainer.cpp src/desktop/rule/windowRule/WindowRuleApplicator.cpp

📅 Opened Jul 25, 2026💬 0 comments
Quality: 75/100Contribute
Looking for more Java beginner tasks?Explore Java GFI

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Contributor Compatibility & Review Speed Analysis for tsantalis/RefactoringMiner

When evaluating whether to contribute to tsantalis/RefactoringMiner, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.

Currently, maintainers of tsantalis/RefactoringMiner acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 69.7% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to tsantalis/RefactoringMiner

01

Is tsantalis/RefactoringMiner welcoming to first-time open-source contributors?

tsantalis/RefactoringMiner has a recorded first-timer success rate of 71.4%. Repositories ranked Welcoming typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 60.0 C-Rank™ score represent?

The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 60.0 places tsantalis/RefactoringMiner in the Welcoming tier.

04

What is the external contributor pull request merge rate for tsantalis/RefactoringMiner?

The external pull request merge rate is 69.7%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in tsantalis/RefactoringMiner?

tsantalis/RefactoringMiner does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for tsantalis/RefactoringMiner are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.