@inbook{a909e9de823c476e81ea47461e0164ec,
title = "Artificial Intelligence in Software Project Management",
abstract = "The success of a software project highly depends on how well the project is managed. This includes crucial activities such as estimating the effort required to develop the software project, creating a software project schedule including allocation of human resources, managing project risks, monitoring progress, etc. Inadequate handling of such activities can thus lead to serious consequences to software companies. However, software project management is also a very challenging task that involves multiple business and human factors, and conflicting objectives. These challenges are exacerbated when dealing with medium to large size software projects. Under such circumstances, artificial intelligence has the potential to play a significant role in supporting software project managers, enabling them to make more informed management decisions. This chapter discusses how artificial intelligence techniques can support software project managers with two key software project management activities: software project scheduling and software effort estimation.",
author = "Liyan Song and Leandro Minku",
year = "2023",
month = jul,
day = "20",
doi = "10.1007/978-981-19-9948-2_2",
language = "English",
isbn = "9789811999475",
series = "Natural Computing Series",
publisher = "Springer",
pages = "19–65",
editor = "Romero, {Jos{\'e} Ra{\'u}l } and Medina-Bulo, {Inmaculada } and Chicano, {Francisco }",
booktitle = "Optimising the Software Development Process with Artificial Intelligence",
edition = "1",
}