  We present a framework for statically detecting deadlocks in a concurrent
object-oriented language with asynchronous method calls and cooperative
scheduling of method activations. Since this language features recursion and
dynamic resource creation, deadlock detection is extremely complex and
state-of-the-art solutions either give imprecise answers or do not scale. In
order to augment precision and scalability we propose a modular framework that
allows several techniques to be combined. The basic component of the framework
is a front-end inference algorithm that extracts abstract behavioural
descriptions of methods, called contracts, which retain resource dependency
information. This component is integrated with a number of possible different
back-ends that analyse contracts and derive deadlock information. As a
proof-of-concept, we discuss two such back-ends: (i) an evaluator that computes
a fixpoint semantics and (ii) an evaluator using abstract model checking.
