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Magnus Larsson, Phd Defense
Vargens Vret, vv262
Predicting Quality Attributes in omponent-based Software SystemsOpponent: Prof Paola Inverardi
Examinig committe: Prof Claes Wohlin, Dr Jörgen Hansson, Prof Erik Dahlquist
This thesis demonstrates the possibility of developing component technologies that provide mechanisms for predicting quality attributes on software systems, given the quality attributes of the components. Moreover, a method that can be used to build prediction-enabled component technologies is presented and its validation procedure described. The method is demonstrated by experiments and a discussion of two different attributes: latency and consistency. It is certain that not all types of attributes can be predicted and the thesis discusses the classification of different attributes from a prediction perspective.