The use of increasingly complex hardware and software platforms in response to the ever rising performance demands of modern real-time systems complicates the verification and validation of their timing behaviour, which form a time-and-effort-intensive step of system qualification or certification. In this paper we relate the current state of practice in measurement-based timing analysis, the predominant choice for industrial developers, to the proceedings of the PROXIMA (Probabilistic real-time control of mixed-criticality multicore systems) project in that very field. We recall the difficulties that the shift towards more complex computing platforms causes in that regard. Then we discuss the probabilistic approach proposed by PROXIMA to overcome some of those limitations. We present the main principles behind the PROXIMA approach as well as the changes it requires at hardware or software level underneath the application. We also present the current status of the project against its overall goals, and highlight some of the principal confidence-building results achieved so far.
['Francisco J. Cazorla', 'Jaume Abella', 'Jan Andersson', 'Tullio Vardanega', 'Francis Vatrinet', 'Iain Bate', 'Ian Broster', 'Mikel Azkarate-askasua', 'Franck Wartel', 'Liliana Cucu', 'Fabrice Cros', 'Glenn Farrall', 'Adriana Gogonel', 'Andrea Gianarro', 'Benoit Triquet', 'Carles Hernandez', 'Code Lo', 'Cristian Maxim', 'David Morales', 'Eduardo Quiñones', 'Enrico Mezzetti', 'Leonidas Kosmidis', 'Irune Aguirre', 'Mikel Fernandez', 'Mladen Slijepcevic', 'Philippa Conmy', 'Walid Talaboulma']
PROXIMA: Improving Measurement-Based Timing Analysis through Randomisation and Probabilistic Analysis