Conference Information
ESOP 2022: European Symposium on Programming
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Notification Date:
Conference Date:
Munich, Germany
CORE: a   QUALIS: a2   Viewed: 13504   Tracked: 3   Attend: 0

Call For Papers
ESOP is an annual conference devoted to fundamental issues in the specification, design, analysis, and implementation of programming languages and systems. ESOP seeks contributions on all aspects of programming language research including, but not limited to, the following areas:

    programming paradigms and styles: functional programming; object-oriented programming; probabilistic programming; logic programming; constraint programming; extensible programming languages; programming languages for systems code; novel programming paradigms;
    methods and tools to specify and reason about programs and languages: programming techniques; meta-programming; domain-specific languages; proof assistants; type systems; dependent types; program logics, static and dynamic program analysis; language-based security; model checking; testing;
    programming language foundations: formal semantics; type theory; logical foundations; category theory; automata; effects; monads and comonads; recursion and corecursion; continuations and effect handlers; program verification; memory models; abstract interpretation;
    methods and tools for implementation: compilers; program transformations; rewriting systems; partial evaluation; virtual machines; refactoring; intermediate languages; run-time environments; garbage collection and memory management; tracing; profiling; build systems; program synthesis;
    concurrency and distribution: process algebras; concurrency theory; session types; parallel programming; service-oriented computing; distributed and mobile computing; actor-based languages; verification and testing of concurrent and distributed systems;
    applications and emerging topics: programming languages and PL methods in education, security, privacy, database systems, computational biology, signal processing, graphics, human-computer interaction, computer-aided design, artificial intelligence and machine learning; case studies in program analysis and verification.

Contributions bridging the gap between theory and practice are particularly welcome.
Last updated by Dou Sun in 2021-07-25
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