Risk management for an open CBS project
- Publication Type:
- Conference Proceeding
- Proceedings of the International Symposium and Workshop on Engineering of Computer Based Systems, 2001, pp. 45 - 53
- Issue Date:
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Open Systems are being presented as the way forward for the construction of complex Computer Based Systems (CBS) of all types. They have had some success but as with all such attempts to solve problems in computing, it is being touted as a panacea. Three years of work by UTS into Open Systems has recognised the following pitfalls with the current Open Systems approaches. Firstly, there is no Open System specific engineering/architecting process to guide developers who want to build an Open System. Secondly, during the engineering of a supposed Open System there is no way to evaluate if they are actually building an Open System, or indeed if one has ultimately been built. And finally, there is no way of guaranteeing that the usual performance requirements of the system will be met by the Open approach. In this paper, application of the Open System Engineering Measures (OSEM) work performed by UTS is suggested as the basis of a system for monitoring and risk analysis of Open Systems. However, the measurement work is proposed as only one of the bases. UTS have also performed other research which could be invaluable if applied to monitoring and risk analysis. The other research focuses on a process for open systems development called an Open System Architecture Methodology (OSAM), and the performance prediction and analysis of open systems - Open System Performance Modelling (OSPM). If these three pieces of work were combined, then a comprehensive monitoring and risk analysis strategy could be put in place to manage three of the largest risk areas of any project. These areas are failure to produce a system which meets its performance deadlines; failure to produce a system which is built according to best engineering practice and failure to produce a system which is open, which allows interoperation, portability, scalability, and ultimately extensible at reasonable cost. In the past, the customer has often had no real strategy upon which to allay or confirm fears of the progress of a large, low volume production project. The system proposed herein would give the customer such a strategy.
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