TY - GEN
T1 - Towards effective AI-powered agile project management
AU - Dam, Hoa Khanh
AU - Tran, Truyen
AU - Grundy, John
AU - Ghose, Aditya
AU - Kamei, Yasutaka
PY - 2019/5
Y1 - 2019/5
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85072067199&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072067199&partnerID=8YFLogxK
U2 - 10.1109/ICSE-NIER.2019.00019
DO - 10.1109/ICSE-NIER.2019.00019
M3 - Conference contribution
T3 - Proceedings - 2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results, ICSE-NIER 2019
SP - 41
EP - 44
BT - Proceedings - 2019 IEEE/ACM 41st International Conference on Software Engineering
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 41st IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results, ICSE-NIER 2019
Y2 - 25 May 2019 through 31 May 2019
ER -