Lightweight virtual machine support for AspectJ
Ryan M. Golbeck, Samuel Davis, Immad Naseer, Igor Ostrovsky, Gregor Kiczales
Abstract
Ryan M. Golbeck, Samuel Davis, Immad Naseer, Igor Ostrovsky, Gregor Kiczales
Abstract
Advice weaving can be efficiently supported with only lightweight enhancements to existing Virtual Machines. Performing weaving at the Java bytecode (JBC) level while preserving appropriate metadata enables the VM to understand the AspectJ-specific semantics of the code and optimize it. This allows the overhead of advice weaving and performing non-local advice dispatch optimization to occur prior to runtime. It also allows the VM to perform optimizations that are unavailable to a bytecode level weaver.
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Advice weaving can be efficiently supported with only lightweight enhancements to existing Virtual Machines. Performing weaving at the Java bytecode (JBC) level while preserving appropriate metadata enables the VM to understand the AspectJ-specific semantics of the code and optimize it. This allows the overhead of advice weaving and performing non-local advice dispatch optimization to occur prior to runtime. It also allows the VM to perform optimizations that are unavailable to a bytecode level weaver.
Key concepts: AspectJ, Bytecode, Computer science, Weaving, Aspect-oriented programming, Programming language, Java, Virtual machine