Systematic Mapping Study on Software Engineering Practices for Machine Learning Systems

This file contains the list of primary studies included in the systematic mapping study on the application of Software Engineering (SE) practices in the development of Machine Learning (ML) and AI-based systems.

Institutions

Mathematics Research Center (MX)
Universidad Autónoma de Sinaloa (MX)

Publication Details

Journal: Zenodo (CERN European Organization for Nuclear Research)
Published: 2025-07-12
DOI: https://doi.org/10.5281/zenodo.15871514
Primary Topic: Software System Performance and Reliability
Type: article
Field-Weighted Citation Impact: 0.00

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article

Systematic Mapping Study on Software Engineering Practices for Machine Learning Systems

Jul 12, 2025

Zenodo (CERN European Organization for Nuclear Research)

Software System Performance and Reliability

article

Systematic Mapping Study on Software Engineering Practices for Machine Learning Systems

July 12, 2025article en

Abstract

Zenodo (CERN European Organization for Nuclear Research)

Mathematics Research Center (MX), Universidad Autónoma de Sinaloa (MX)

Industry, innovation and infrastructure

Openalex Percentile: Top 48%

Software System Performance and Reliability

DOI Open Access PDF OpenAlex

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Systematic Mapping Study on Software Engineering Practices for Machine Learning Systems · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS