ETAPS 2019
Sat 6 - Thu 11 April 2019 Prague, Czech Republic
Thu 11 Apr 2019 14:00 - 14:30 at SUN I - Safety and Fault-tolerant Systems Chair(s): Rance Cleaveland

Digital bifurcation analysis is a new algorithmic method for exploring how the behaviour of a parameter-dependent computer system varies with a change in its parameters and, in particular, for identification of bifurcation points where such variation becomes dramatic. We have developed the method in an analogy with the traditional bifurcation theory and have it successfully applied to models taken from systems biology. In this case study paper, we demonstrate the appropriateness and usefulness of the digital bifurcation analysis as a push-button alternative to the classical approaches as traditionally used for analysing the stability of TCP/IP protocols. We consider two typical examples (congestion control and buffer sizes influence on the throughput) and show that the method provides the same results as obtained with classical non-automatic analytical and numerical methods.

Thu 11 Apr

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

14:00 - 16:00
Safety and Fault-tolerant SystemsTACAS at SUN I
Chair(s): Rance Cleaveland University of Maryland
14:00
30m
Talk
Digital Bifurcation Analysis of TCP Dynamics
TACAS
Link to publication
14:30
30m
Talk
Verifying Safety of Synchronous Fault-Tolerant Algorithms by Bounded Model Checking
TACAS
Ilina Stoilkovska Vienna University of Technology , Igor Konnov Inria Nancy, Josef Widder TU Wien, Florian Zuleger Vienna University of Technology
Link to publication
15:00
30m
Talk
Measuring Masking Fault-Tolerance
TACAS
Pablo Castro Dept. of Computer Science FCEFQyN, University of Rio Cuarto, Pedro D'Argenio , Ramiro Demasi , Luciano Putruele
Link to publication
15:30
30m
Talk
PhASAR: An Inter-Procedural Static Analysis Framework for C/C++
TACAS
Philipp Dominik Schubert Heinz Nixdorf Institut, Paderborn University, Ben Hermann University of Paderborn, Eric Bodden Heinz Nixdorf Institut, Paderborn University and Fraunhofer IEM
Link to publication