CONTEXT - Offshore software development outsourcing (OSDO) is a modern business strategy for developing high quality software in low-wage countries at low cost. OSDO is a contract-based relationship between client and vendor organisations in which a c1ient(s) contracts out all or part of its software development activities to a vendor(s), who provides agreed services in return for remuneration. Vendor's readiness plays an important role in the successful outcomes of OSDO projects. OBJECTIVE - The objective of this thesis is to develop a software outsourcing vendors' readiness model (SOVRM) to help vendors for assessing and improving their readiness for OSDO activities. The SOVRM is primarily developed to assist OSDO vendor organisations. However, it is also beneficial to client organisations as client organisations can take benefit from this research by getting to know about the areas in which vendors can be assessed based on their own priorities. Moreover, clients can make a better informcd decision of their choice of OSDO vendors. In developing the SOVRM model, we considered other similar efforts addressing similar areas, specifically CMMI and ISO 9001. SOVRM has its distinctive and unique features that differentiate it from other models. Specifically, SOVRM is a comprehensive model focussing on assisting outsourcing companies in assessing their readiness for software development outsourcing. It is not a software process improvement model or standard such as CMMI and ISO 9001. Vendor companies which are CMMI or ISO 900 I certified may not be ready for software development outsourcing as the characteristics of CMMI and ISO 9001 is to improve the software development capabilities of companies instead of improving their outsourcing readiness. However, we included CMMI or ISO 900 I certification as one of the success factors defined in SOVRM.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:602968 |
| Date | January 2011 |
| Creators | Khan, Siffat Ullah |
| Publisher | Keele University |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
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