1 research outputs found
Towards a scalable cloud platform for search-based probabilistic testing
Probabilistic testing techniques that sample input data at random from a
probability distribution can be more effective at detecting faults than
deterministic techniques. However, if overly large (and therefore expensive)
test sets are to be avoided, the probability distribution from which the input
data is sampled must be optimised to the particular software-under-test. Such
an optimisation process is often resource-intensive. In this paper, we present
a prototypical cloud platform-and architecture-that permits the optimisation of
such probability distributions in a scalable, distributed and robust manner,
and thereby enables cost-effective probabilistic testing