Use of AI Methods in Software Project Scheduling

Nevena Ranković, Dragica Rankovic, Mirjana Ivanovic*, Ljubomir Lazic

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

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Abstract

This chapter explores the use of Artificial Intelligence (AI) methods in software project scheduling, covering key processes like schedule management, activity sequencing, and resource and duration estimation. It provides insights into how machine learning and deep learning algorithms enhance the accuracy and efficiency of project scheduling. Practical AI applications are examined to demonstrate their impact on optimizing scheduling processes and improving decision-making. The chapter also addresses the benefits and challenges of using AI techniques to streamline and automate scheduling in software projects.
Original languageEnglish
Title of host publicationRecent Advances in Artificial Intelligence in Cost Estimation in Project Management
Editors Nevena Ranković, Ranković, Dragica Rankovic, Mirjana Ivanovic, Ljubomir Lazic
PublisherSpringer Cham
Chapter3
Pages123-155
Number of pages33
ISBN (Electronic)978-3-031-76572-8
ISBN (Print)978-3-031-76571-1
DOIs
Publication statusPublished - 2024

Publication series

NameArtificial Intelligence-Enhanced Software and Systems Engineering
PublisherSpringer Cham
Volume6
ISSN (Print)2731-6025
ISSN (Electronic)2731-6033

Keywords

  • AI in project scheduling1
  • machine learning algorithms
  • deep learning in scheduling
  • schedule optimization

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