Dynamic languages: design, implementation and evaluation

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Increasingly, the software industry is making use of dynamic programming languages such as Python, Ruby, JavaScript, Lua, and Scheme. These languages offer many features which ease the development of evolvable complex applications: a rapid development cycle, introspection, language extensibility, parametric polymorphism, high level of abstraction, etc. Their main drawback in current implementations is their execution speed. The long term objective of the proposed research is to contribute to the efficient implementation of dynamic programming languages and evaluate how their performance compares to static languages in terms of execution speed, memory usage and implementation cost. Our goal is to develop implementation techniques which make them competitive in performance critical contexts. Four areas of research which extend our current work will be investigated: