A model-driven engineering approach for the uniquely identity reconciliation of heterogeneous data sources.

The objectives to be achieved with this Doctoral Thesis are: 1. Perform a study of the state of the art of the different existing solutions for the entity reconciliation of heterogeneous data sources, checking if they are being used in real environments. 2. Define and develop a Framework for designing the entity reconciliation models by a systematic way for the requirement, analysis and testing phases of a software methodology. For this purpose, this objective has been divided in three sub objectives: a. Define a set of activities, represented as a process which can be added to any software development methodology to carry out the activities related to the entity reconciliation in the requirement, analysis and testing phase of any software development life cycle. b. Define a metamodel that allows us to represent an abstract view of our model-based approach. c. Define a set of derivation mechanisms that allow to stablish the base for automate the testing of the solutions where the framework proposed in this doctoral thesis has been used. Considering that the process will be applied in the early stages of the development, it is possible to say that this proposal applies Early Testing. 3. Provide a support tool for the framework. The support tool will allow to a software engineer to define the analysis model of an entity reconciliation problem between different and heterogeneous data sources. The tool will be represented as a Domain Specific Language (DSL). 4. Evaluate the results obtained of the application of the proposal in a real-world case study