Extended ML (EML) refers to an extension of the standard ML programming language, enhancing its capabilities and offering additional features. Standard ML is a statically-typed, functional programming language that supports type inference, algebraic data types, pattern matching, and higher-order functions. EML builds upon this foundation, introducing a set of new elements and syntax to enable advanced programming techniques and make the language more expressive.
In EML, there are various language extensions that enhance the type system, syntax, and semantics of ML. These extensions often involve inclusion of advanced type systems, adding modules, higher-kinded types, existential types, or mixing programming paradigms like logic programming or imperative programming into the language.
The goal of Extended ML is to maintain the core features and type safety of standard ML while allowing programmers to work on a higher level and handle complex tasks more conveniently. By introducing new constructs and capabilities, EML enables the development of more flexible and powerful applications. It promotes code reusability, modularity, and correctness, making it a valuable tool for large-scale software engineering projects.
EML serves as a research language for exploring new programming language concepts and developing advanced program analysis and optimization techniques. Its extensibility allows for experimentation and the exploration of different language design choices. Additionally, it acts as a foundation for creating domain-specific languages (DSLs) tailored to specific problem domains, providing targeted abstractions and features to facilitate efficient programming.
