Work

Event-driven Adaptation in COP

Year: 2016

Type: article

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 an extension of ML_CoDa to deal with adaptation to unpredictable context changes notified by asynchronous events.

Source: Electronic Proceedings in Theoretical Computer Science

DOI: 10.4204/eptcs.211.4

Authors: Pierpaolo Degano, Gian-Luigi Ferrari, Letterio Galletta

Institution: University of Pisa

Language: English

Topic: Logic, programming, and type systems

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: Università di Pisa

Award: G8634877131