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 PaperResearchpeer-review

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
EditorsAnita Sarma, Leonardo Murta
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages41-44
Number of pages4
ISBN (Electronic)9781728117584
ISBN (Print)9781728117591
DOIs
Publication statusPublished - 2019
EventInternational Conference on Software Engineering 2019 - Fairmont The Queen Elizabeth Hotel, Montreal, Canada
Duration: 25 May 201931 May 2019
Conference number: 41st
https://2019.icse-conferences.org/home
https://2019.icse-conferences.org/

Conference

ConferenceInternational Conference on Software Engineering 2019
Abbreviated titleICSE 2019
CountryCanada
CityMontreal
Period25/05/1931/05/19
OtherNew Ideas and Emerging Results 2019
Internet address

Keywords

  • Artificial Intelligence
  • Software Engineering

Cite this

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