Prior implementations of escape analysis (EA) make a closed-world/whole-program assumption: All methods that can possibly be executed during the program execution are known statically. The Java programming language has several language features, e.g., dynamic class loading, native invocation and reflection, which break the closed-world assumption. These open-world features raise a major concern on the practicability and applicability of the prior approaches to Java applications that use or rely on the features. This paper proposes and evaluates a new escape analysis framework which handles the Java open-world features. The framework also provides a mechanism that controls the analysis complexity to reduce the runtime overhead with acceptable precision. The result shows that the EA framework, which is implemented in Intel's Open Runtime Platform on X86, eliminates 70% and 94% of dynamic synchronized operations and improves the runtime performance 15.77% and 31.28%, for SPECjbb2000 and db of SPECjvm98 respectively.