Pydsbuilder – A Dataset Builder Written in Python Django

Data mining and the analysis of open-source projects have become crucial in recent research, driven by the vast availability of data across multiple programming domains. This paper focuses on two main objectives: first, to present an experience report for designing a software quality data mining tool, and secondly, to provide an open-source solution, PyDs, that facilitates the creation of datasets specifically aimed at analyzing software quality attributes. PyDs, leveraging Python and the Django Framework, provides a comprehensive solution for researchers, encompassing data extraction from repositories, the application of software analysis tools, and the consolidation of results into a coherent format conducive to in-depth experimentation and analysis. This tool addresses the pressing need for effective data mining capabilities in evaluating software quality, allowing the research community to harness the full potential of the vast resources offered by open-source software projects. Keywords: Data Mining, Software Quality Analysis Tools, Software Quality, Datasets, Dataset Builder, GitHub Mining.

Authors

Institutions

Publication Details

Journal
Studia Universitatis Babeș-Bolyai Informatica
Published
2025-04-02
DOI
https://doi.org/10.24193/subbi.2024.2.01
Citations
1
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pydsbuilder – A Dataset Builder Written in Python Django

Liviu-Marian Berciu
1 citations
Studia Universitatis Babeș-Bolyai Informatica
Computational Physics and Python Applications
2.48
article

Pydsbuilder – A Dataset Builder Written in Python Django

Liviu-Marian Berciu
article en
1 citations

Abstract

Data mining and the analysis of open-source projects have become crucial in recent research, driven by the vast availability of data across multiple programming domains. This paper focuses on two main objectives: first, to present an experience report for designing a software quality data mining tool, and secondly, to provide an open-source solution, PyDs, that facilitates the creation of datasets specifically aimed at analyzing software quality attributes. PyDs, leveraging Python and the Django Framework, provides a comprehensive solution for researchers, encompassing data extraction from repositories, the application of software analysis tools, and the consolidation of results into a coherent format conducive to in-depth experimentation and analysis. This tool addresses the pressing need for effective data mining capabilities in evaluating software quality, allowing the research community to harness the full potential of the vast resources offered by open-source software projects. Keywords: Data Mining, Software Quality Analysis Tools, Software Quality, Datasets, Dataset Builder, GitHub Mining.

Studia Universitatis Babeș-Bolyai InformaticaVol. 69(2)
Babeș-Bolyai University (RO)
Openalex Percentile: Top 11%
Computational Physics and Python Applications
2.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.