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Paper

A dataset for identifying actionable feedback in collaborative software development

by Independent / Community 01ec14d729cfd9228e207ffc438765a7e278610e

Free2AITools Nexus Index

66.4

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 78

P: Popularity 53

R: Recency 100

Q: Quality 65

Tech Context

Vital Performance —

Software developers and testers have long struggled with how to elicit proactive responses from their coworkers when reviewing code for security vulnerabilities and errors. For a code review to be successful, it must not only identify potential problems but also elicit an active response from the colleague responsible for modifying the code. To understand the factors that contribute to this outcome, we analyze a novel dataset of more than one million code reviews for the Google Chromium proje...

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Semantic Scholar 15 Citations

Paper Information Summary
Entity Passport
Registry ID	01ec14d729cfd9228e207ffc438765a7e278610e
License	ArXiv
Provider	semantic_scholar

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Cite this paper

Academic & Research Attribution

BibTeX

@misc{01ec14d729cfd9228e207ffc438765a7e278610e,
  author = {Unknown},
  title = {A dataset for identifying actionable feedback in collaborative software development Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/01ec14d729cfd9228e207ffc438765a7e278610e}},
  note = {Accessed via Free2AITools.}
}

APA Style

Unknown. (2026). A dataset for identifying actionable feedback in collaborative software development [Paper]. Free2AITools. https://api.semanticscholar.org/01ec14d729cfd9228e207ffc438765a7e278610e

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 78

Popularity (P) 53

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for A dataset for identifying actionable feedback in collaborative software development: Authority (A:78), Popularity (P:53), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

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HuggingFace API GitHub Metadata Arxiv Citation DB Methodology

Open data Updated: Live data

📝 Executive Summary

"Software developers and testers have long struggled with how to elicit proactive responses from their coworkers when reviewing code for security vulnerabilities and errors. For a code review to be successful, it must not only identify potential problems but also elicit an active response from the colleague responsible for modifying the code. To understand the factors that contribute to this outcome, we analyze a novel dataset of more than one million code reviews for the Google Chromium proje..."

❝ Cite Node

@article{Unknown2026A,
  title={A dataset for identifying actionable feedback in collaborative software development},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

🔗 Full Paper

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📊 Research Signals

📈15CitationsSemantic Scholar

🏛️78AuthorityFNI pillar

⏱️100RecencyFNI pillar

✅65QualityFNI pillar

🗂️automation workflowField

📦Data Source: semantic_scholar

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Source summary: Based on semantic_scholar metadata. Not a recommendation.

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🛡️ Paper Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

source: semantic_scholar
author: Unknown
license: ArXiv
tags: paper, research, academic

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag

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downloads: 0
stars: null
forks: null
citations: 15

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