engleski

Determining work focus, common language and issues in engineering projects through topic persistence

Large-scale engineering projects are challenging to monitor, manage, and improve. This paper presents an approach to addressing part of this challenge - the automatic detection of engineering activity through the project lifecycle. By monitoring the focus of work in real-time, this aims to enable managers to build a detailed understanding of the activity that occurs at different stages, work that deviates from that expected, and issues as they arise. The approach is applied to a long-term email dataset, and extracts key themes, issue occurrence, and activity focus through time.

engineering project health monitoring; knowledge management; project monitoring

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