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Generative AI for Software Development: Code Generation, Error Detection, Software Testing
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Generative AI for Software Development: Code Generation, Error Detection, Software Testing

Verlag: De Gruyter

2025 - Hardcover

Zustand: gebraucht - sehr gut, Generative AI for Software Development: Code Generation, Error Detection, Software Testing
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Generative AI for Software Development: Code Generation, Error Detection, Software Testing

Produktart:
📚 Bücher
Anbieter:
BUCHSERVICE / ANTIQUARIAT Lars-Lutzer *** LITERATUR RECHERCHE *** ANTIQUARISCHE SUCHE
Bestell-Nr.:
BN468077
Sprache:
Deutsch
Katalog:
Varia
ISBN | EAN:
3111677729 | 9783111677729
Stichworte:
Generative, Software, Development, Code, Generation, Error, Detection, Testing
Zahlungsarten:
Vorauskasse, Rechnung/Überweisung (Vorauszahlung vorbehalten), PayPal
Gebraucht, sehr gut349,90 EUR zzgl. 6,99 EUR Verpackung & Versand
Generative AI for Software Development: Code…
Gebraucht, sehr gut
349,90 EUR
zzgl. 6,99 EUR Verpackung & Versand
As the field of Artificial Intelligence continues to evolve, Generative AI has emerged as a powerful tool in the realm of software development. AI models capable of generating high-quality, human-like code can significantly accelerate the software development process, assist in troubleshooting, and even automate tasks traditionally performed by human developers. Generative AI models, such as OpenAI, DeepMind, and others, are already demonstrating the ability to write functional code, generate documentation, and assist in code review. These models are not only reducing the time it takes to develop applications but are also making software development more accessible to a broader audience, including non-technical users. This book is intended to serve as a comprehensive guide for developers, technology leaders, and anyone interested in understanding how to leverage Generative AI in software development. It will cover the underlying technology behind these models, practical use cases, integration into development workflows, and ethical considerations. Additionally, it explores how the democratization of coding through AI will shape the future of software engineering. By providing insights into real-world applications and best practices for integrating generative AI into the software lifecycle, this book empowers readers to stay ahead of the technological curve in a rapidly evolving industry.
S. Balasubramaniam, Kerala University Digital Sciences, India; S. Kadry, Lebanese American University, Lebanon
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