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| dc.contributor.author |
Molefe, Onkgopotse M
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|
| dc.contributor.author |
Fogwill, T
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|
| dc.contributor.author |
Gerber, A
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| dc.contributor.author |
van der Merwe, A
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| dc.date.accessioned | 2010-09-02T09:31:04Z | |
| dc.date.available | 2010-09-02T09:31:04Z | |
| dc.date.issued | 2010-09-01 | |
| dc.identifier.citation | Molefe, O, Fogwill, T, Gerber, A and van der Merwe, A. 2010. Open source software migration: Best practices. CSIR 3rd Biennial Conference 2010. Science Real and Relevant. CSIR International Convention Centre, Pretoria, South Africa, 30 August – 01 September 2010, pp 1 | en |
| dc.identifier.uri | http://hdl.handle.net/10204/4295 | |
| dc.description | CSIR 3rd Biennial Conference 2010. Science Real and Relevant. CSIR International Convention Centre, Pretoria, South Africa, 30 August – 01 September 2010 | en |
| dc.description.abstract | Open source software (OSS) has gained prominence worldwide, largely due to cost savings and security considerations. This has caused a change in the IT sector and has led to the migration of desktops from proprietary to OSS. The problem for organisations wanting to adopt OSS is the difficulty in planning and implementation of migration projects, with migration processes often being designed from scratch. Process reference models (PRMs) are reusable process model structures. They capture the common activities, roles and resources of processes in a particular environment and can be reused in different environments. One of the advantages of PRMs is that they enable Design by Reuse, alleviating the need to redesign processes. PRMs can improve the planning and execution of OSS projects. To develop PRMs for OSS migration projects, the CSIR OSS migration project (Vula) was studied, and its process models were captured using the standard process notation IDEF0 | en |
| dc.language.iso | en | en |
| dc.publisher | CSIR | en |
| dc.subject | Open source software | en |
| dc.subject | Open source software migration | en |
| dc.subject | CSIR Conference 2010 | en |
| dc.title | Open source software migration: Best practices | en |
| dc.type | Conference Presentation | en |
| dc.identifier.apacitation | Molefe, O. M., Fogwill, T., Gerber, A., & van der Merwe, A. (2010). Open source software migration: Best practices. CSIR. http://hdl.handle.net/10204/4295 | en_ZA |
| dc.identifier.chicagocitation | Molefe, Onkgopotse M, T Fogwill, A Gerber, and A van der Merwe. "Open source software migration: Best practices." (2010): http://hdl.handle.net/10204/4295 | en_ZA |
| dc.identifier.vancouvercitation | Molefe OM, Fogwill T, Gerber A, van der Merwe A, Open source software migration: Best practices; CSIR; 2010. http://hdl.handle.net/10204/4295 . | en_ZA |
| dc.identifier.ris | TY - Conference Presentation AU - Molefe, Onkgopotse M AU - Fogwill, T AU - Gerber, A AU - van der Merwe, A AB - Open source software (OSS) has gained prominence worldwide, largely due to cost savings and security considerations. This has caused a change in the IT sector and has led to the migration of desktops from proprietary to OSS. The problem for organisations wanting to adopt OSS is the difficulty in planning and implementation of migration projects, with migration processes often being designed from scratch. Process reference models (PRMs) are reusable process model structures. They capture the common activities, roles and resources of processes in a particular environment and can be reused in different environments. One of the advantages of PRMs is that they enable Design by Reuse, alleviating the need to redesign processes. PRMs can improve the planning and execution of OSS projects. To develop PRMs for OSS migration projects, the CSIR OSS migration project (Vula) was studied, and its process models were captured using the standard process notation IDEF0 DA - 2010-09-01 DB - ResearchSpace DP - CSIR KW - Open source software KW - Open source software migration KW - CSIR Conference 2010 LK - https://researchspace.csir.co.za PY - 2010 T1 - Open source software migration: Best practices TI - Open source software migration: Best practices UR - http://hdl.handle.net/10204/4295 ER - | en_ZA |
