TY - BOOK
T1 - Recent Advances in Artificial Intelligence in Cost Estimation in Project Management
AU - Ranković, Nevena
AU - Rankovic, Dragica
AU - Ivanovic, Mirjana
AU - Lazic, Ljubomir
PY - 2024
Y1 - 2024
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.
AB - 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.
KW - Computational Intelligence
KW - Effort and Cost Estimation
KW - AI Paradigms
KW - Software Project Management
KW - Optimization
KW - Robust Design of Experiment
KW - Taguchi Method
KW - Orthogonal Vector Plans
KW - Practical Aspects of Software Project Estimation
UR - https://link.springer.com/book/9783031765711#overview
UR - https://www.amazon.nl/Advances-Artificial-Intelligence-Estimation-Management/dp/3031765710
U2 - 10.1007/978-3-031-76572-8
DO - 10.1007/978-3-031-76572-8
M3 - Book
SN - 978-3-031-76571-1
T3 - Artificial Intelligence-Enhanced Software and Systems Engineering
BT - Recent Advances in Artificial Intelligence in Cost Estimation in Project Management
PB - Springer Cham
ER -