πŸ“„
A dataset for identifying actionable feedback in collaborative software development paper
⭐ 66.4
πŸ“„
Paper

A dataset for identifying actionable feedback in collaborative software development

01ec14d729cfd9228e207ffc438765a7e278610e
Free2AITools Nexus Index
66.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 79
P: Popularity 54
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...

Source β†’
Semantic Scholar 16 Citations
Paper Information Summary
Entity Passport
Registry ID 01ec14d729cfd9228e207ffc438765a7e278610e
License ArXiv
Provider semantic_scholar
πŸ“œ

Cite this paper

Academic & Research Attribution

BibTeX 
@misc{01ec14d729cfd9228e207ffc438765a7e278610e,
  title = {A dataset for identifying actionable feedback in collaborative software development Paper},
  howpublished = {\url{https://api.semanticscholar.org/01ec14d729cfd9228e207ffc438765a7e278610e}},
  note = {Accessed via Free2AITools.}
}
APA Style
A dataset for identifying actionable feedback in collaborative software development [Paper]. Free2AITools. https://api.semanticscholar.org/01ec14d729cfd9228e207ffc438765a7e278610e

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 79
Popularity (P) 54
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for A dataset for identifying actionable feedback in collaborative software development: Authority (A:79), Popularity (P:54), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data

πŸ“ 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{A,
  title={A dataset for identifying actionable feedback in collaborative software development},
  note={Indexed by Free2AITools}
}

πŸ”— Full Paper

Free2AITools indexes the abstract and factual metadata for this paper. Read the complete, authoritative paper on the official source.

Read the full paper on arXiv

πŸ“Š Research Signals

πŸ“ˆ16CitationsSemantic Scholar
πŸ›οΈ79AuthorityFNI pillar
⏱️100RecencyFNI pillar
βœ…65QualityFNI pillar
πŸ—‚οΈautomation workflowField
πŸ“¦Data Source: semantic_scholar
πŸ”„ Updated daily

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

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Paper Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

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

πŸ“Š Engagement & Metrics

downloads
0
citations
16

Data indexed from public sources. Updated daily.