Towards effective AI-powered agile project management

Hoa Khanh Dam, Truyen Tran, John Grundy, Aditya Ghose, Yasutaka Kamei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The rise of Artificial intelligence (AI) has the potential to significantly transform the practice of project management. Project management has a large socio-technical element with many uncertainties arising from variability in human aspects, e.g. customers' needs, developers' performance and team dynamics. AI can assist project managers and team members by automating repetitive, high-volume tasks to enable project analytics for estimation and risk prediction, providing actionable recommendations, and even making decisions. AI is potentially a game changer for project management in helping to accelerate productivity and increase project success rates. In this paper, we propose a framework where AI technologies can be leveraged to offer support for managing agile projects, which have become increasingly popular in the industry.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE/ACM 41st International Conference on Software Engineering
Subtitle of host publicationNew Ideas and Emerging Results, ICSE-NIER 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages41-44
Number of pages4
ISBN (Electronic)9781728117584
DOIs
Publication statusPublished - May 2019
Event41st IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results, ICSE-NIER 2019 - Montreal, Canada
Duration: May 25 2019May 31 2019

Publication series

NameProceedings - 2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results, ICSE-NIER 2019

Conference

Conference41st IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results, ICSE-NIER 2019
CountryCanada
CityMontreal
Period5/25/195/31/19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Dam, H. K., Tran, T., Grundy, J., Ghose, A., & Kamei, Y. (2019). Towards effective AI-powered agile project management. In Proceedings - 2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results, ICSE-NIER 2019 (pp. 41-44). [8805739] (Proceedings - 2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results, ICSE-NIER 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSE-NIER.2019.00019