La IA Generativa en el Desarrollo de Software: Impacto en Diversas Industrias

Guliana Lulichac Ramos; Fernando Olivert Pantoja Payajo; Marcelino  Torres Villanueva

doi:10.48168/innosoft.s23.a259

Guliana Lulichac Ramos Universidad Nacional de Trujillo https://orcid.org/0009-0006-5503-7451
Fernando Olivert Pantoja Payajo Universidad Nacional de Trujillo https://orcid.org/0009-0008-0252-607X
Marcelino Torres Villanueva Universidad Nacional de Trujillo https://orcid.org/0000-0002-9797-1510

DOI: 10.48168/innosoft.s23.a259

PURL: 42411/s23/a259

ARK: ark:/42411/s23/a259

Palabras clave: Inteligencia artificial generativa, aprendizaje automático, modelo generativo, red neuronal, industria

Resumen

El desarrollo de software experimentó una transformación significativa mediante la integración de tecnologías de inteligencia artificial (IA) generativa. La investigación se propuso evaluar la influencia de estas tecnologías en diferentes industrias y sus implicaciones en los procesos de desarrollo mediante un análisis sistemático de su impacto e implementación en diversos sectores industriales. Se implementó la metodología PRISMA para el análisis de publicaciones entre 2022 y 2024 en las bases de datos Scopus y SciELO, empleando criterios específicos de inclusión y términos clave relacionados con aplicaciones de IA. El estudio reveló una adopción significativa en las industrias farmacéutica, alimentaria, salud dental y maxilofacial, marítima, minería, telecomunicaciones, salud mental y educación médica, registrándose un incremento sustancial en la producción científica, que evolucionó de 40 documentos en 2022 a 54 en 2024. El análisis geográfico mostró un liderazgo de China en publicaciones Scopus, mientras que Brasil destacó su investigación en SciELO. Los hallazgos demostraron que estas tecnologías optimizaron la eficiencia en la generación y depuración de código, democratizando el desarrollo de software y facilitando la creación de soluciones efectivas sin requerir experiencia técnica avanzada. Se concluyó que, no obstante, los desafíos en precisión e implicaciones éticas, las herramientas basadas en IA generativa se consolidaron como elementos fundamentales para la competitividad organizacional en el entorno tecnológico contemporáneo.

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