Formulations and benefits of the law of demeter
ACM SIGPLAN Notices
Object-oriented software construction (2nd ed.)
Object-oriented software construction (2nd ed.)
Effective Java programming language guide
Effective Java programming language guide
Adaptive Object-Oriented Software: The Demeter Method with Propagation Patterns
Adaptive Object-Oriented Software: The Demeter Method with Propagation Patterns
A case for statically executable advice: checking the law of demeter with AspectJ
Proceedings of the 2nd international conference on Aspect-oriented software development
Arranging language features for more robust pattern-based crosscuts
Proceedings of the 2nd international conference on Aspect-oriented software development
ECOOP '01 Proceedings of the 15th European Conference on Object-Oriented Programming
Proceedings of the 3rd international conference on Aspect-oriented software development
Josh: an open AspectJ-like language
Proceedings of the 3rd international conference on Aspect-oriented software development
A compilation and optimization model for aspect-oriented programs
CC'03 Proceedings of the 12th international conference on Compiler construction
Expressive pointcuts for increased modularity
ECOOP'05 Proceedings of the 19th European conference on Object-Oriented Programming
SCoPE: an AspectJ compiler for supporting user-defined analysis-based pointcuts
Proceedings of the 6th international conference on Aspect-oriented software development
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The expressiveness of AspectJ's dynamic join point model has been shown in many useful applications, while the static join point model (also called lexical shadows) has been studied less. We propose a notion of shadow programming that exposes a program's adapted lexical shadow information to compile time language constructs to enable customized static analysis and more expressive join point selection mechanisms. In particular, within the framework of the AspectJ language and compiler, we have designed and implemented two compile time language constructs, called Statically Executable Advice and Pointcut Evaluator respectively, to show how the lexical shadow information can be used.