This paper focuses on the successes and issues associated with developing a statistical testing environment for an industrial software project. The paper will also describe how both statistical testing based on software models and traditional testing based on unit and other functional tests can be combined into an effective approach to testing large software intensive systems.

What follows is a list comprising a sample body of knowledge for software testing which strives to be inclusive of the many facets of this subject area.

This paper focuses on the defect analysis aspect of the process improvement task and describes how it was deployed quickly and economically.

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Testing is crucial to e-commerce because e-commerce sites are both business critical and highly visible to their users; any failure can be immediately expensive in terms of lost revenue and even more expensive in the longer term if disaffected users seek alternative sites. Yet the time pressures in the e-commerce world militate against the thorough testing usually associated with business criticality, so a new approach is needed to enable testing to be integrated into the development process and to ensure that testing does not present a significant time burden.

The very familiarity of much of the technology means that tried and true mechanisms will either be suitable or can be modified to fit. Rapid Applications Development (RAD), in particular, suggests some promising approaches. Like most new ventures, though, e-commerce must find its own way and establish its own methods. In this paper we have suggested some testing principles that have stood the test of time and interm