This node.js script tries to verify a flat probabilistic while-loop annotated with a pre-expectation and a post-expectation. You will need node.js with version ≥ 0.10 to run this script. Besides, the following tools must be accessible in the shell:
- Octave
- Redlog
- Z3py
Consider a probabilistic loop that models a symmetric bounded random walk (see random-walk.js in folder test-cases for details):
n = 0;
while(0<x && x<y) {
(x++)[0.5](x--);
n++;
}
The following command will generate a polynomial loop invariant with degree ≤ 2, pre-expectation x*(y-x), and post-expectation n for the above loop, assuming that all variables range over non-negative integers:
node main.js deg=2 'pre=x*(y-x)' post=n test=random-walk
The existence of loop invariant asserts that when the loop terminates, the expected value of program variable n (i.e. the post-expectation) is no less than the value of expression x*(y-x) (i.e. the pre-expectation) evaluated right before the loop is entered.
Note that the output of this script is meaningful only if the provided loop terminates with probability 1. You may have to verify this condition manually.
Implement a parser to generate test cases from annotated pCGL source code
GPL v3