Dynamic software evolution through interpreter adaptation

Significant research has been dedicated to dynamic software evolution and adaptation that lead to different approaches which can mainly be categorized as either architecture-based or language-based. But there was little or no focus on dynamic evolution achieved through language interpreter adaptation. In this paper we present a model for such adaptations and illustrate their applicability and usefulness on practical examples developed in Neverlang, a framework for modular language development with features for dynamic adaptation of language interpreters.