SEAIDec 27, 2018

Towards effective AI-powered agile project management

arXiv:1812.10578v175 citations
Originality Synthesis-oriented
AI Analysis

This work addresses project management challenges for agile teams in industry, but it appears incremental as it builds on existing AI concepts without introducing a new paradigm.

The paper tackles the challenge of managing agile projects by proposing a framework that leverages AI technologies to automate tasks, provide analytics, and offer recommendations, aiming to accelerate productivity and increase project success rates.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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