Recent Advances in Artificial Intelligence in Cost Estimation in Project Management: 6 (Artificial Intelligence-Enhanced Software and Systems Engineering). This item is unavailable.
Language: English
Published by Springer, 2024
- Hardcover
- New

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Condition: New
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- Title
- Recent Advances in Artificial Intelligence in Cost Estimation in Project Management: 6 (Artificial Intelligence-Enhanced Software and Systems Engineering)
- Author
- Rankovic, Nevena; Ranković, Dragica; Ivanovic, Mirjana; Lazić, Ljubomir
- Publisher
- Springer
- Publication year
- 2024
- Condition
- New
- Binding
- Hardcover
- Language
- English
- 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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.