Gaetana Sapienza

PhD Thesis: Multiple Criteria Decision Analysis-based HW/SW partitioning methodology for embedded applications

 Main advisor: Prof. Ivica Crnkovic
 Co-advisors:   Prof. Tiberiu Seceleanu, Dr. Antonio Cicchetti
The Faculty reviewer:
Associated Prof. Petr Tůma, Charles University in Prague, Czech Republic

Grading Committee: Prof. Claes Wohlin, Blekinge Institute of Technology, Sweden
Associated Prof. Raffaela Mirandola, Politecnico di Milano, Italy
Associated Prof. Patrizio Pelliccione, University of Gothenburg, Sweden
(Reserve: Associated Prof. Jan Carlson, Mälardalen University, Sweden)

Mälardalen Univeristy, HÖGSKOLEPLAN 1, Västerås, room Lambda,
2016-11-04, 9:15

Documentation Comment
The Thesis The final version with included errata
The Thesis Final version + Errata Corrige
The Thesis - Draft - Version 0.9 Draft version - Included: Paper I,II,III,IV, and VI, Paper V abstract
Guidelines and Rules for the defence