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Handbook on Artificial Intelligence-Empowered Applied Software Engineering: Vol.1-2

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  • Дата: 18-10-2022, 14:58
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Handbook on Artificial Intelligence-Empowered Applied Software Engineering: Vol.1-2Название: Handbook on Artificial Intelligence-Empowered Applied Software Engineering: Vol.1-2
Автор: Maria Virvou, George A. Tsihrintzis, Nikolaos G. Bourbakis
Издательство: Springer
Серия: Artificial Intelligence-Enhanced Software and Systems Engineering
Год: 2022
Страниц: 342+209
Язык: английский
Формат: pdf (true)
Размер: 21.6 MB

Significant current research efforts are devoted to the efficient incorporation of Artificial Intelligence (AI) enhancements into software and the empowerment of software with Artificial Intelligence. The goal of this research is dual: (i) to develop algorithms, mechanisms, methodologies, and procedures that allow software to learn and evolve (i.e., to become better, user-friendlier and more efficient at performing specific tasks), either on its own or with the help of a supervisor/instructor, and (ii) to enhance the whole Software Engineering process, including the use of Artificial Intelligence to (at least partially) automate software development, and reflect the incorporation of knowledge engineering and knowledge acquisition, prototyping and rapid application development of intelligent software modules.

Books:
1) Introduction to Handbook on Artificial Intelligence-Empowered Applied Software Engineering—VOL.1: Novel Methodologies to Engineering Smart Software Systems
2) Introduction to Handbook on Artificial Intelligence-Empowered Applied Software Engineering—Vol. 2: Smart Software Applications in Cyber-Physical Systems

Contents Vol.1:
1. Introduction
Part I. Survey of Recent Relevant Literature
Part II. Artificial Intelligence-Assisted Software Development
Part III. Software Engineering Tools to Develop Artificial Intelligence Applications

Contents Vol.2:
1. Introduction
Part I. Smart Software Applications in Scientific Document Processing
Part II. Smart Software Applications in Enterprise Modeling
Part III. Smart Software Applications in Education
Part IV. Smart Software Applications in Healthcare and Medicine
Part V. Smart Software Applications in Infrastructure Monitoring

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