AI for mass-scale code refactoring and analysis : how to make AI more efficient, cost-effective, and accurate at scale

AI for mass-scale code refactoring and analysis how to make AI more efficient, cost-effective, and accurate at scale

As the software development landscape evolves, the challenge of managing and refactoring extensive code bases becomes increasingly complex. AI methods of code refactoring, while effective for smaller scales, can falter under the weight of mass-scale operations. The need for efficiency, accuracy, and...

Descripción completa

Detalles Bibliográficos
Otros Autores: Gehring, Justine, author (author), Kundzich, Olga, author, Johnson, Pat, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Sebastopol, CA : O'Reilly Media, Inc 2024.
Edición:First edition
Materias:
Software refactoring.
Artificial intelligence.
Machine learning.
Computer software > Development > Management.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009849082606719

Ejemplares similares

Ejemplares similares