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dc.contributor.authorCachia, Ernest
dc.contributor.authorMicallef, Mark
dc.date.accessioned2017-02-25T19:19:55Z
dc.date.available2017-02-25T19:19:55Z
dc.date.issued2011
dc.identifier.citationCachia, E., & Micallef, M. (2011). An event-driven cartographic approach to modelling software engineering knowledge. International Conference on Knowledge Management and Information Sharing, Paris. 18-27.en_GB
dc.identifier.isbn9789898425812
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/16834
dc.description.abstractThis 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, per- sons 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.en_GB
dc.language.isoenen_GB
dc.publisherInstitute for Systems and Technologies of Information, Control and Communicationen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectKnowledge representation (Information theory)en_GB
dc.subjectSoftware engineeringen_GB
dc.subjectKnowledge managementen_GB
dc.titleAn event-driven cartographic approach to modelling software engineering knowledgeen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencenameInternational Conference on Knowledge Management and Information Sharingen_GB
dc.bibliographicCitation.conferenceplaceParis, France, 26-29/10/2011en_GB
dc.description.reviewedpeer-revieweden_GB
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Scholarly Works - FacICTCS

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