Testing in the Evolving World of DL Systems:Insights from Python GitHub Projects

Fuente: arXiv
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Main Authors: Ali, Qurban, Riganelli, Oliviero, Mariani, Leonardo
Format: Preprint
Published: 2024
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author Ali, Qurban
Riganelli, Oliviero
Mariani, Leonardo
author_facet Ali, Qurban
Riganelli, Oliviero
Mariani, Leonardo
contents In the ever-evolving field of Deep Learning (DL), ensuring project quality and reliability remains a crucial challenge. This research investigates testing practices within DL projects in GitHub. It quantifies the adoption of testing methodologies, focusing on aspects like test automation, the types of tests (e.g., unit, integration, and system), test suite growth rate, and evolution of testing practices across different project versions. We analyze a subset of 300 carefully selected repositories based on quantitative and qualitative criteria. This study reports insights on the prevalence of testing practices in DL projects within the open-source community.
format Preprint
id arxiv_https___arxiv_org_abs_2405_19976
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Testing in the Evolving World of DL Systems:Insights from Python GitHub Projects
Ali, Qurban
Riganelli, Oliviero
Mariani, Leonardo
Software Engineering
In the ever-evolving field of Deep Learning (DL), ensuring project quality and reliability remains a crucial challenge. This research investigates testing practices within DL projects in GitHub. It quantifies the adoption of testing methodologies, focusing on aspects like test automation, the types of tests (e.g., unit, integration, and system), test suite growth rate, and evolution of testing practices across different project versions. We analyze a subset of 300 carefully selected repositories based on quantitative and qualitative criteria. This study reports insights on the prevalence of testing practices in DL projects within the open-source community.
title Testing in the Evolving World of DL Systems:Insights from Python GitHub Projects
topic Software Engineering
url https://arxiv.org/abs/2405.19976