Recent Advances in Artificial Intelligence in Cost Estimation in Project Management: 6 (Artificial Intelligence-Enhanced Software and Systems Engineering). Este artículo no está disponible.
Idioma: inglés
Editorial: Springer, 2024
- Tapa dura
- Nuevo

Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
Vendedor de AbeBooks desde 22 de noviembre de 2018
Condición: Nuevo
EUR 257,08
N° de ref. del artículo 26403494674
- Título
- Recent Advances in Artificial Intelligence in Cost Estimation in Project Management: 6 (Artificial Intelligence-Enhanced Software and Systems Engineering)
- Autor
- Rankovic, Nevena; Ranković, Dragica; Ivanovic, Mirjana; Lazić, Ljubomir
- Editorial
- Springer
- Año de publicación
- 2024
- Estado
- New
- Encuadernación
- Encuadernación de tapa dura
- Idioma
- inglés
- ISBN 10
- 3031765710
- ISBN 13
- 9783031765711
This book focuses on the practical application of AI tools and techniques in software project management, offering detailed theoretical explanations and practical examples of over 40 state-of-the-art machine learning and deep learning algorithms applied across each project phase, as well as in risk and resource management. Helping the business world estimate projects more accurately while saving costs and resources is crucial in today’s rapidly changing, fast-paced technological landscape. Moreover, it presents specific aspects of combined approaches through ensemble models, incorporating Taguchi’s optimization method to further improve estimation accuracy, advancing this area of software project management. A valuable resource for students and professionals to deepen their knowledge and skills, it also serves as a great manual for companies adopting smarter strategies to manage and develop projects more efficiently and effectively.
“Sinopsis” puede pertenecer a otra edición de este título.
De la contraportada
This book focuses on the practical application of AI tools and techniques in software project management, offering detailed theoretical explanations and practical examples of over 40 state-of-the-art machine learning and deep learning algorithms applied across each project phase, as well as in risk and resource management. Helping the business world estimate projects more accurately while saving costs and resources is crucial in today's rapidly changing, fast-paced technological landscape. Moreover, it presents specific aspects of combined approaches through ensemble models, incorporating Taguchi's optimization method to further improve estimation accuracy, advancing this area of software project management. A valuable resource for students and professionals to deepen their knowledge and skills, it also serves as a great manual for companies adopting smarter strategies to manage and develop projects more efficiently and effectively.
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