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Candidate:: Federico Ciccozzi, Mälardalen University.
Opponent: Dániel Varró, Budapest University of Technology and Economics.
Michel Chaudron, Chalmers
Julio Medina, U d Cantabria
Sara Tucci Piergiovanni, CEA
Mikael Sjödin,, Mälardalen University
Antonio Cicchetti, Mälardalen University
The complexity of modern systems is continuously growing, thus demanding novel powerful development approaches. In this direction, model-driven and component-based software engineering have reached the status of promising paradigms for the development of complex systems. Moreover, in the embedded domain, their combination is believed to be helpful in handling the ever-increasing complexity of such systems. However, in order for them and their combination to definitively break through at industrial level, code generated from models through model transformations should preserve system properties modelled at design level.
This research work focuses on aiding the preservation of system properties throughout the entire development process across different abstraction levels. Towards this goal, we provide the possibility of analysing and preserving system properties through a development chain constituted of three steps: (i) generation of code from system models, (ii) execution and analysis of generated code, and (iii) back propagation of analysis results to system models. With the introduction of steps (ii) and (iii), properties that are hard to predict at modelling level are compared with runtime values and this consequently allows the developer to work exclusively at modelling level thus focusing on optimizing system models with the help of those values.