11:00am Meeting room 302 (Mountain View), level 3

**Rupak Majumdar**, *Scientific Director, Max Planck Institute for Software Systems, Germany*

We consider the following basic task in the testing of concurrent systems. The input to the task is a partial order of events, which models actions performed on or by the system and specifies ordering constraints between them. The task is to determine if some scheduling of these events can result in a bug. The number of schedules to be explored can, in general, be exponential.

Empirically, many bugs in concurrent programs have been observed to have small bug depth;
that is, these bugs are exposed by every schedule that orders some d specific events in a particular way,
irrespective of how the other events are ordered,
and d is small compared to the total number of events.
To find all bugs of depth *d*, one needs to only test a d-hitting family of
schedules: we call a set of schedules a *d*-hitting family if for
each set of d events, and for each allowed ordering of these
events, there is some schedule in the family that executes these
events in this ordering.
The size of a d-hitting family may be much smaller
than the number of all possible schedules, and a natural
question is whether one can find *d*-hitting families of schedules
that have small size.

In general, finding the size of optimal d-hitting families is hard, even for d=2. We show, however, that when the partial order is a tree, one can explicitly construct d-hitting families of schedules of small size. When the tree is balanced, our constructions are polylogarithmic in the number of events.

(Joint work with Dmitry Chistikov and Filip Niksic)