TY  - BOOK
AU  - Rankovic,Nevena
AU  - Ranković,Dragica
AU  - Ivanovic,Mirjana
AU  - Lazić,Ljubomir
ED  - SpringerLink (Online service)
TI  - Recent Advances in Artificial Intelligence in Cost Estimation in Project Management
T2  - Artificial Intelligence-Enhanced Software and Systems Engineering,
SN  - 9783031765728
AV  - Q342 
U1  - 006.3 23
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Computational intelligence
KW  - Artificial intelligence
KW  - Project management
KW  - Computational Intelligence
KW  - Artificial Intelligence
KW  - Project Management
N1  - Introduction -- Top AI Techniques for Every Phase of Software Project Management -- Use of AI Methods in Software Project Scheduling -- AI in Software Effort Estimation -- AI in Risk Management -- AI in Project Resource Management -- AI software project management tools -- Conclusion -- Optimizing Effort and Cost Estimation: Model Implementation using Artificial Neural Networks and Taguchi's Orthogonal Vector Plans
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-76572-8
ER  -