These benchmarks are part of a submitted paper. Please
do contact us if you would like a draft of this paper.
To reproduce, follow these instructions:
1) Compile Spot and install if it is not already done.
2) Compile Glucose 3 from http://www.labri.fr/perso/lsimon/glucose/
and make sure the 'glucose' binary is in your PATH.
3) Compile ltl2dstar from http://www.ltl2dstar.de/ and
make sure the 'ltl2dstar' binary is in your path.
4) Compile DBAminimizer from
http://www.react.uni-saarland.de/tools/dbaminimizer
and define the path to minimize.py with
% export DBA_MINIMIZER=$HOME/dbaminimizer/minimize.py
5) Then make sure you are in this directory:
% cd bench/dtgbasat/
6) Classify the set of formulas with
% ./prepare.sh
This will read the formulas from file "formulas" and output a file
"info.ltl", in which each formula is associated to a class (the ①,
②, ②, and ④ of the paper), and a number of acceptance conditions
(the "m" of the paper).
7) Build a makefile to run all experiments
% ./stats.sh
8) You may optionally change the directory that contains temporary
files with
% export TMPDIR=someplace
(These temporary files can be several GB large.)
Note that runtime will be limited to 2h, but memory is not bounded.
You should set such a limit with "ulimit" if you like. For instance
% ulimit -v 41943040
9) Actually run all experiments
% make -j4 -f stat.mk
This will build a CSV file called "all.log".
10) You may generate LaTeX code for the tables with the scripts:
- tabl.pl: Full data.
- tabl1.pl, tabl2.pl, tabl3.pl, tabl4.pl: Partial tables as shown
in the paper.
All these script takes the CSV file all.log as first argument, and
output LaTeX to their standard output.
For more instruction about how to use ltl2tgba and dstar2tgba to
compute minimal DTGBA or DTBA, please read doc/userdoc/satmin.html
