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Paul R. Kosinki

dblp:89/6118 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1978
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Programming languages and type systems · 100%
Theoretical computer science
1 paper
Logic in computer science · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Programming languages and type systems › programming paradigms
dataflow language
0.011978
A Straightforward Denotational Semantics for Non-Determinant Data Flow Programs · POPL 1978
Programming languages and type systems › language semantics › formal semantics
denotational semantics
0.011978
A Straightforward Denotational Semantics for Non-Determinant Data Flow Programs · POPL 1978
Logic in computer science
domain theory
0.011978
A Straightforward Denotational Semantics for Non-Determinant Data Flow Programs · POPL 1978

Methods — techniques the papers use, named apart from their topics

denotational semantics · 0.0complete partial order · 0.0
YearPublicationVenuePosition
1978 A Straightforward Denotational Semantics for Non-Determinant Data Flow Programs
abstract
Data flow programming languages are especially amenable to mathematization of their semantics in the denotational style of Scott and Strachey. However, many real world programming problems, such as operating systems and data base inquiry systems, require a programming language capable of non-determinacy because of the non-determinate behavior of their physical environment. To date, there has been no satisfactory denotational semantics of programming languages with non-determinacy. This paper presents a straightforward denotational treatment of non-determinate data flow programs as functions from sets of tagged sequences to sets of tagged sequences. A simple complete partial order on such sets exists, in which the data flow primitives are continuous functions, so that any data flow program computes a well defined function.
Paul R. Kosinki
POPL1