Title
DirectFlow: a domain-specific language for information-flow systems
Abstract
Programs that process streams of information are commonly built by assembling reusable information-flow components. In some systems the components must be chosen from a pre-defined set of primitives; in others the programmer can create new custom components using a general-purpose programming language. Neither approach is ideal: restricting programmers to a set of primitive components limits the expressivity of the system, while allowing programmers to define new components in a general-purpose language makes it difficult or impossible to reason about the composite system. We advocate defining information-flow components in a domain-specific language (DSL) that enables us to infer the properties of the components and of the composed system; this provides us with a good compromise between analysability and expressivity. This paper presents DirectFlow, which comprises a DSL, a compiler and a runtime system. The language allows programmers to define objects that implement information-flow components without specifying how messages are sent and received. The compiler generates Java classes by inferring the message sends and methods, while the run-time library constructs information-flow networks by composition of DSL-defined components with standard components.
Year
DOI
Venue
2007
10.1007/978-3-540-73589-2_15
ECOOP
Keywords
Field
DocType
new custom component,general-purpose language,composite system,information-flow system,new component,general-purpose programming language,runtime system,reusable information-flow component,information-flow network,domain-specific language,information-flow component,information flow,programming language,domain specific language
Dynamic compilation,Programming language,Computer science,Compiler,Theoretical computer science,Very high-level programming language,High-level programming language,First-generation programming language,Low-level programming language,Programming language implementation,Language primitive
Conference
Volume
ISSN
ISBN
4609
0302-9743
3-540-73588-7
Citations 
PageRank 
References 
6
0.57
13
Authors
2
Name
Order
Citations
PageRank
Chuan-Kai Lin118313.84
Andrew P. Black21566366.84