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IDEI 2286/2008

REASEARCHES ON ADAPTIVE OPTIMIZATION OF SOFTWARE SYSTEMS USING MACHINE LEARNING TECHNIQUES AND MULTIAGENT SYSTEMS

RO|EN

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2011 - Middle phase

Goal (name of the objective) Associated activities Deadline Results
1. Development of new machine learning (clustering,self-organizing maps -SOM, neural networks) based methods for solving the problem of introducing design patterns in existing software systems 1.1 Development of machine learning algorithms for the problem of introducing design patterns
  1. Technical report containing the elaborated algorithms for the design patterns injection in existing systems
  2. Software module containing the implementations of the developed algorithms
  3. Research report containing the obtained results
  4. Journal papers, presentations in conferences
1.2 Validation of the developed algorithms on real, open source systems
1.3. Evaluation of the obtained results and their comparison with existing similar approaches
1.4 Implementation of the developed algorithms and their inclusion in the multiagent system DSSEM
Wu Yi Tea

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