The following technical report is available from
http://aib.informatik.rwth-aachen.de:
Proceedings of the Young Researchers' Conference "Frontiers of Formal
Methods"
Thomas Ströder and Wolfgang Thomas (Editors)
AIB 2015-06
The Young Researchers' Conference "Frontiers of Formal Methods" (FFM
2015) is a "singularity" - an event that is not part of a longer
conference series, but organized following a nice coincidence of
interests of several research groups in Germany and Austria.
It all started with a loose promise given in 2010: When the second phase
of the DFG research training group (Graduiertenkolleg) "AlgoSyn" started
in Aachen, we promised to organize a final conference at the end of
altogether nine successful years of work by and with doctoral students.
In discussions between the speakers of closely related research training
groups, it became then clear that all our doctoral students would gain
most by a jointly organized conference. Five partners joined their
forces: the DFG research training groups
AlgoSyn (Algorithmic Synthesis of Reactive and Discrete-Continuous
Systems), Aachen,
PUMA (Program and Model Analysis), Munich,
QuantLA (Quantitative Logics and Automata), Dresden & Leipzig,
SCARE (System Correctness under Adverse Conditons), Oldenburg,
and the Austrian Research Network ARiSE (Rigorous System Engineering).
The following technical report is available from
http://aib.informatik.rwth-aachen.de:
Inferring Lower Bounds for Runtime Complexity
Florian Frohn, Jürgen Giesl, Jera Hensel, Cornelius Aschermann, and
Thomas Ströder
AIB 2015-05
We present the first approach to deduce lower bounds for innermost
runtime complexity of term rewrite systems (TRSs) automatically.
Inferring lower runtime bounds is useful to detect bugs and to
complement existing techniques that compute upper complexity bounds. The
key idea of our approach is to generate suitable families of rewrite
sequences of a TRS and to find a relation between the length of such a
rewrite sequence and the size of the first term in the sequence. We
implemented our approach in the tool AProVE and evaluated it by
extensive experiments.