Authors:
Ernest Cachia
and
Mark Micallef
Affiliation:
University of Malta, Malta
Keyword(s):
Knowledge maps, Knowledge mobility risk, Knowledge transfer risk, Software engineering, Knowledge metrics.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Communication, Collaboration and Information Sharing
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Learning Organization & Organizational Learning
;
Studies, Metrics & Benchmarks
;
Symbolic Systems
;
Tools and Technology for Knowledge Management
Abstract:
This paper proposes an event-based cartographic approach to managing software engineering knowledge that goes beyond the typical yellow-pages paradigm. After proposing a way of modelling knowledge assets, persons in an organisation and various relationships between these elements as a graph, the authors go on to demonstrate how this approach can be useful. Since the model is represented by a mathematical structure, established techniques from graph theory can be used for interesting analysis such as detecting knowledge risks, modelling staff turnover scenarios and identifying people who have similar knowledge to each other. The proposed approach uses an event-driven paradigm which infers the strength of knowledge relationships based on individuals’ participation in each knowledge asset’s life cycle.