@inbook{457fb1212e154113bba93198b525b047,
title = "Top AI Techniques for Every Phase of Software Project Management",
abstract = "This chapter explores a wide range of AI techniques, providing practical examples for each method to showcase their applications in various phases of software project management. From foundational models like linear and logistic regression to advanced methods such as artificial neural networks and reinforcement learning, each technique is analyzed for its role in improving decision-making and project efficiency. Clustering algorithms, genetic algorithms, and ensemble models are also covered to tackle more complex challenges. The chapter concludes with a comprehensive review of previous research, offering insights into the application of AI techniques in software project management.",
keywords = "artificial neural networks (ANN), regression models, clustering algorithms",
author = "Nevena Rankovi{\'c} and Dragica Rankovic and Mirjana Ivanovic and Ljubomir Lazic",
note = " Part1 AI on the Battlefield of Software Project Management",
year = "2024",
doi = "10.1007/978-3-031-76572-8\_2",
language = "English",
isbn = "978-3-031-76571-1",
series = "Artificial Intelligence-Enhanced Software and Systems Engineering",
publisher = "Springer Cham",
pages = "9--121",
editor = "Rankovi{\'c}, \{Nevena \} and Rankovic, \{ Dragica \} and Ivanovic, \{ Mirjana \} and Lazic, \{ Ljubomir \}",
booktitle = "Recent Advances in Artificial Intelligence in Cost Estimation in Project Management",
edition = "1",
}