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dc.contributor.authorWongthongtham, Pornpit
dc.contributor.authorKomchaliaw, Surasak
dc.contributor.editorThanaruk Theeramunkong
dc.contributor.editorVirach Sornlertlamvanich
dc.contributor.editorSusumu Kunifuji
dc.date.accessioned2017-01-30T11:50:47Z
dc.date.available2017-01-30T11:50:47Z
dc.date.created2011-03-14T20:01:40Z
dc.date.issued2010
dc.identifier.citationWongthongtham, Pornpit and Komchaliaw, Surasak. 2010. An Ontology-based Method for Knowledge Sharing Measurement in Multi-site Software Development, in Theeramunkong, T. and Sornlertlamvanich, V. and Kunifuji, S. (ed), 5th International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2010), Nov 25 2010, pp. 62-70. Chiang Mai, Thailand: Springer.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/15607
dc.description.abstract

Challenges over multi-site software development are on working in virtual teams and sharing knowledge. It is quite normal that software engineers working in a virtual team have never met face to face in multi-site environments. In addition they have different educational backgrounds and interpret methods in different ways. Software engineering education, training, and practice are different between universities, cities, and countries. As a result, it is difficult to share a piece of knowledge between distributed teams and among remote team members. There are a number of standards that different teams could be referring to. Remote software engineers use a particular standard as their own individual guide and when they share their own knowledge base and terminology is different from those of others.Most issues raised are related to inconsistency in understanding software engineering theories and practice. Therefore sharing knowledge is the challenge and to resolve the differences between the distributed teams we need to understand its key variables of knowledge sharing. In this paper we propose an ontology-based approach for knowledge sharing measurement. Collaboration issues in multi-site software development form into key variables of knowledge sharing. The impact of nature of knowledge on knowledge sharing is focused. A prototype is developed taking Software Engineering Ontology as example.

dc.publisherSpringer
dc.subjectKnowledge Sharing
dc.subjectOntology
dc.subjectSoftware Engineering
dc.subjectMulti-site Software Development
dc.titleAn Ontology-based Method for Knowledge Sharing Measurement in Multi-site Software Development
dc.typeConference Paper
dcterms.source.startPage62
dcterms.source.endPage70
dcterms.source.titleProceedings of the 5th international conference on knowledge, information and creativity support systems (KICSS 2010)
dcterms.source.seriesProceedings of the 5th international conference on knowledge, information and creativity support systems (KICSS 2010)
dcterms.source.isbn9789744665041
dcterms.source.conference5th International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2010)
dcterms.source.conference-start-dateNov 25 2010
dcterms.source.conferencelocationChiang Mai, Thailand
dcterms.source.placeThailand
curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusFulltext not available


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