@inproceedings{3e04638d09d04cdc9f5e263487fa4c75,
title = "Ants can schedule software projects",
abstract = "This paper presents the design of an algorithm based on Ant Colony Optimization paradigm to solve the Software Project Scheduling Problem. This problem consists in deciding who does what during the software project development, finding an optimal schedule for a project so that the precedence and resource constraints are satisfied and the final project cost and its duration are minimized. We present the design of an general ant algorithm to solve it.",
keywords = "Ant colony optimization, Project management, Software engineering, Software project scheduling problem",
author = "Broderick Crawford and Ricardo Soto and Franklin Johnson and Eric Monfroy",
year = "2013",
doi = "10.1007/978-3-642-39473-7_126",
language = "English",
isbn = "9783642394720",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
number = "PART I",
pages = "635--639",
booktitle = "HCI International 2013 - Posters' Extended Abstracts - International Conference, HCI International 2013, Proceedings",
edition = "PART I",
note = "15th International Conference on Human-Computer Interaction, HCI International 2013 ; Conference date: 21-07-2013 Through 26-07-2013",
}