Automatic Bound Computation

The undecidability of the Halting problem is a famous result that goes back to the beginnings of computer science. The result says that there is no general method for automatically proving the termination of programs. Note, that this statement does not contradict the fact that in practice it is very well possible to prove termination for important program classes automatically. For example, it was a huge success when the first automatic tool chain was able to automatically prove the termination of Windows Device Drivers. Because drivers run in kernel mode, non-terminating drivers could cause the whole system to hang. Despite this success, termination is not a satisfying answer to most programmers who not only want to know that their programs terminate but also when! In ongoing research we are developing tools and algorithms for automatically deriving complexity bounds. Consider the following programs:

x = y = n;
while (x > 0 && y > 0)
x = y = n;
while (x > 0 && y > 0)
    else {
        x = n; }
while (n > 0)
    t := A[n];
    while (n > 0 && t = A[n])
i := 0;
while (i < n) {
    j := i + 1;
    while (j < n) {
        if (random()) {
            n--; }
        j++; }
    i++; }

Our tool Loopus automatically establishes that in the first and third program the complexity of the loop is O(n) and O(n2) in the second program. Moreover our tool establishes that ConsumeResource() is only called O(n) times. If you find the above described research exciting, we can offer you a variety of topics for bachelor / master theses and projects for practical course work and student jobs.

It is beneficial, if you bring the following qualities:

  • programming skills
  • interest in scientific work
  • basic knowledge in logic and set-theory
  • willingness to study state-of-the-art publications

[Contact Florian Zuleger]

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FRIDA’15 Program

Check the program of the 2nd workshop on Formal Reasoning in Distributed Algorithms at FORTE. We have a nice program this year.

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