An embedded system artefact organisation and adaptation knowledge management system for embedded system product prototyping

Includes abstract. === Includes bibliographical references. === This thesis presents an innovative approach to knowledge management (KM) from the perspective of embedded system (ES) development, a form of development that is highly knowledge intensive and depends on specialised forms of knowledge ob...

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Bibliographic Details
Main Author: Winberg, Simon L
Other Authors: Schach, S R
Format: Doctoral Thesis
Language:English
Published: University of Cape Town 2015
Subjects:
Online Access:http://hdl.handle.net/11427/12216
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-122162020-12-10T05:11:01Z An embedded system artefact organisation and adaptation knowledge management system for embedded system product prototyping Winberg, Simon L Schach, S R Inggs, Michael Linck, M Electrical Engineering Includes abstract. Includes bibliographical references. This thesis presents an innovative approach to knowledge management (KM) from the perspective of embedded system (ES) development, a form of development that is highly knowledge intensive and depends on specialised forms of knowledge obtained from a variety of complex knowledge artefacts. This study follows an experimental methodology that involves integrating a knowledge management system (KMS) into ES product prototyping projects, in order to facilitate KM of a specific form of knowledge, namely embedded system artefact organisation and adaptation (ESAOA) knowledge. ESAOA knowledge is produced during ESAOA activities, which concern organising artefacts that are used to construct an ES and techniques by which engineers adapt and learn from these artefacts. 2015-01-15T11:25:46Z 2015-01-15T11:25:46Z 2010 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/12216 eng application/pdf University of Cape Town Faculty of Engineering and the Built Environment Department of Electrical Engineering
collection NDLTD
language English
format Doctoral Thesis
sources NDLTD
topic Electrical Engineering
spellingShingle Electrical Engineering
Winberg, Simon L
An embedded system artefact organisation and adaptation knowledge management system for embedded system product prototyping
description Includes abstract. === Includes bibliographical references. === This thesis presents an innovative approach to knowledge management (KM) from the perspective of embedded system (ES) development, a form of development that is highly knowledge intensive and depends on specialised forms of knowledge obtained from a variety of complex knowledge artefacts. This study follows an experimental methodology that involves integrating a knowledge management system (KMS) into ES product prototyping projects, in order to facilitate KM of a specific form of knowledge, namely embedded system artefact organisation and adaptation (ESAOA) knowledge. ESAOA knowledge is produced during ESAOA activities, which concern organising artefacts that are used to construct an ES and techniques by which engineers adapt and learn from these artefacts.
author2 Schach, S R
author_facet Schach, S R
Winberg, Simon L
author Winberg, Simon L
author_sort Winberg, Simon L
title An embedded system artefact organisation and adaptation knowledge management system for embedded system product prototyping
title_short An embedded system artefact organisation and adaptation knowledge management system for embedded system product prototyping
title_full An embedded system artefact organisation and adaptation knowledge management system for embedded system product prototyping
title_fullStr An embedded system artefact organisation and adaptation knowledge management system for embedded system product prototyping
title_full_unstemmed An embedded system artefact organisation and adaptation knowledge management system for embedded system product prototyping
title_sort embedded system artefact organisation and adaptation knowledge management system for embedded system product prototyping
publisher University of Cape Town
publishDate 2015
url http://hdl.handle.net/11427/12216
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