An Ontology-Based Method for Measurement for measurement of transferability and complexity of knowledge in multi-site software development environment
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 me...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Book Chapter |
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Springer
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/36179 |
| _version_ | 1848754697507176448 |
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| author | Wongthongtham, Pornpit Kasisopha, N. |
| author2 | Thanaruk Theeramunkong Cholwich Nattee |
| author_facet | Thanaruk Theeramunkong Cholwich Nattee Wongthongtham, Pornpit Kasisopha, N. |
| author_sort | Wongthongtham, Pornpit |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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 indifferent 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. Particularly in the approach, we look into measurement of transferability and complexity of knowledge. The impact of nature of knowledge on knowledge sharing is focused. A prototype is developed taking Software Engineering Ontology as example. |
| first_indexed | 2025-11-14T08:44:32Z |
| format | Book Chapter |
| id | curtin-20.500.11937-36179 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:44:32Z |
| publishDate | 2011 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-361792023-01-27T05:52:10Z An Ontology-Based Method for Measurement for measurement of transferability and complexity of knowledge in multi-site software development environment Wongthongtham, Pornpit Kasisopha, N. Thanaruk Theeramunkong Cholwich Nattee Susumu Kunifuji Virach Sornlertlamvanich Complexity of Knowledge Knowledge Sharing Measurement Ontology Transferability of Knowledge Software Engineering Multi-site Software Development 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 indifferent 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. Particularly in the approach, we look into measurement of transferability and complexity of knowledge. The impact of nature of knowledge on knowledge sharing is focused. A prototype is developed taking Software Engineering Ontology as example. 2011 Book Chapter http://hdl.handle.net/20.500.11937/36179 Springer restricted |
| spellingShingle | Complexity of Knowledge Knowledge Sharing Measurement Ontology Transferability of Knowledge Software Engineering Multi-site Software Development Wongthongtham, Pornpit Kasisopha, N. An Ontology-Based Method for Measurement for measurement of transferability and complexity of knowledge in multi-site software development environment |
| title | An Ontology-Based Method for Measurement for measurement of transferability and complexity of knowledge in multi-site software development environment |
| title_full | An Ontology-Based Method for Measurement for measurement of transferability and complexity of knowledge in multi-site software development environment |
| title_fullStr | An Ontology-Based Method for Measurement for measurement of transferability and complexity of knowledge in multi-site software development environment |
| title_full_unstemmed | An Ontology-Based Method for Measurement for measurement of transferability and complexity of knowledge in multi-site software development environment |
| title_short | An Ontology-Based Method for Measurement for measurement of transferability and complexity of knowledge in multi-site software development environment |
| title_sort | ontology-based method for measurement for measurement of transferability and complexity of knowledge in multi-site software development environment |
| topic | Complexity of Knowledge Knowledge Sharing Measurement Ontology Transferability of Knowledge Software Engineering Multi-site Software Development |
| url | http://hdl.handle.net/20.500.11937/36179 |