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Handbook On Artificial Intelligence-Empowered Applied Software Engineering eBook

Vol.1: Novel Methodologies To Engineering Smart Software Systems

language: english
Publisher: Springer International Publishing, September of 2022 ‧
171,59€
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This book provides a structured overview of artificial intelligence-empowered applied software engineering. Evolving technological advancements in big data, smartphone and mobile software applications, the Internet of Things and a vast range of application areas in all sorts of human activities and professions lead current research towards the efficient incorporation of artificial intelligence enhancements into software and the empowerment of software with artificial intelligence.

This book at hand, devoted to Novel Methodologies to Engineering Smart Software Systems Novel Methodologies to Engineering Smart Software Systems, constitutes the first volume of a two-volume Handbook on Artificial Intelligence-empowered Applied Software Engineering. Topics include very significant advances in (i) Artificial Intelligence-Assisted Software Development and (ii) Software Engineering Tools to develop Artificial Intelligence Applications, as well as a detailed Survey of Recent Relevant Literature

Professors, researchers, scientists, engineers and students in artificial intelligence, software engineering and computer science-related disciplines are expected to benefit from it, along with interested readers from other disciplines.

Handbook On Artificial Intelligence-Empowered Applied Software Engineering

Vol.1: Novel Methodologies To Engineering Smart Software Systems

Property Description
ISBN: 9783031082023
Publisher: Springer International Publishing
Release Date: September of 2022
Language: English
Format: eBook
Collection: Artificial Intelligence-Enhanced Software And Systems Engineering
Categories: eBooks in English > Engineering > General Engineering
eBooks in English > Computing > Schedule
EAN: 9783031082023
Acessibilidade: Ver características de acessibilidade indicadas pelo editor