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Impact analysis is an essential part of change management. Without adequate analysis it is not possible to confidently determine the extent, complexity and cost of proposed changes 10 a software system. This diminishes the ability of a developer or mamtainer to make informed decisions regarding the inclusion or rejection of proposed changes. The lack of coherent impact analysis can also hinder the process of ensuring that all system components affected by a change are updated. The abstract nature of requirement level entities has meant that current impact analysis techniques have focused largely on design and code level artifacts. This paper proposes a novel approach which integrates traditional impact analysis with experience based techniques to extend current approaches to support requirement level impact analysis. Central to this approach is the use of probability to assist in the combination and presentation of predicted impact propagation paths. An Auto Teller Machine (ATM) example is used to illustrate the approach.

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The growth of mobile devices with near PC equivalent capabilities has brought with it the possibility of mobile P2P systems. However, the nature of mobile devices brings additional issues that need to be considered, especially for when considering system security. This paper presents our initial work on the EU funded PEPERS project that seeks to support the development of secure mobile P2P applications. A core part of this support is with the design and development of a mobile P2P security platform.