Predicting the Understandability of Computational Notebooks through Code Metrics Analysis

This repository contains the source code for a code comprehension classifier service for computational notesbooks.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-10
DOI
https://doi.org/10.5281/zenodo.14827719
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
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article

Predicting the Understandability of Computational Notebooks through Code Metrics Analysis

Zenodo (CERN European Organization for Nuclear Research)
Software Engineering Research
article

Predicting the Understandability of Computational Notebooks through Code Metrics Analysis

article en

Abstract

This repository contains the source code for a code comprehension classifier service for computational notesbooks.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 38%
Software Engineering Research
DOIOpen Access PDFOpenAlex
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Predicting the Understandability of Computational Notebooks through Code Metrics Analysis · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS