A Context-Oriented Extension of F#
Andrea Canciani (Dipartimento di Informatica, Universit\`a di Pisa,, Pisa, Italy), Pierpaolo Degano (Dipartimento di Informatica, Universit\`a di, Pisa, Pisa, Italy), Gian-Luigi Ferrari (Dipartimento di Informatica,, Universit\`a di Pisa, Pisa, Italy)
TL;DR
This paper presents ML_CoDa, a context-oriented programming language extension for F# that enables adaptive behavior based on environmental context, combining declarative context programming with functional computation.
Contribution
It introduces an implementation of ML_CoDa as an extension of F#, integrating context-awareness into a functional programming environment.
Findings
Successful integration of context-oriented features into F#
Demonstrated adaptability of programs based on context changes
Enhanced expressiveness for context-dependent programming
Abstract
Context-Oriented programming languages provide us with primitive constructs to adapt program behaviour depending on the evolution of their operational environment, namely the context. In previous work we proposed ML_CoDa, a context-oriented language with two-components: a declarative constituent for programming the context and a functional one for computing. This paper describes the implementation of ML_CoDa as an extension of F#.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.