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that, by allowing a variety of stakeholders to take part in modelling, projects will be both more efficient than traditional approaches and will produce software that meets the needs of those stakeholders. This will be facilitated by transforming initial (CIM), models to design (PIM) and...
Persistent link: https://www.econbiz.de/10009429867
An agent-based e-commerce environment is regarded as one of the most suitable open environments for electronic marketplaces. Because of agent?s autonomous, reactive and proactive features, agents can, on the one hand, act on behalf of their owner, and use individual strategies to increase the...
Persistent link: https://www.econbiz.de/10009429883
As a result of the expanding trend to globalise software development there is a specific requirement to understand and address issues which previously did not arise. This includes the important impact distance has on the success of globally distributed software development projects. Research has...
Persistent link: https://www.econbiz.de/10009429886
This sections outlines some of the experiences gained and the lessons learned while establishing and operating virtual software development and maintenance teams by an Irish based company, Software Future Technologies (a pseudonym) who were partnered with a large US financial organisation Stock...
Persistent link: https://www.econbiz.de/10009429887
The fundamentals of a good decision-making are, first, clear understanding of the decision itself and, second, the availability of properly focused information to support the decision. Decision-making techniques help with both these problems. However, the techniques should be thought of as aids...
Persistent link: https://www.econbiz.de/10009429888
Over the last 5 years a quiet revolution in business systems development has taken place towards the use of enterprise-wide, off-the-shelf software solutions. At the end of 1997, BusinessWeek estimated the value of this global enterprise applications package (EAP) market at $10billion and still...
Persistent link: https://www.econbiz.de/10009429889
In this paper a classification framework for incomplete data, based on electrostatic field model is proposed. An original approach to exploiting incomplete training data with missing features, involving extensive use of electrostatic charge analogy, has been used. The framework supports a hybrid...
Persistent link: https://www.econbiz.de/10009429890