Conference Information
PPDP 2022: ACM SIGPLAN Symposium on Principles and Practice of Declarative Programming
https://software.imdea.org/Conferences/PPDP2022/
Submission Date:
2022-05-15
Notification Date:
2022-07-09
Conference Date:
2022-09-20
Location:
Tbilisi, Georgia
Years:
24
CORE: b   QUALIS: b1   Viewed: 12505   Tracked: 1   Attend: 0

Call For Papers
 The International Symposium on Principles and Practice of Declarative Programming (PPDP) aims to provide a forum that brings together researchers from the declarative programming communities, including those working in the logic, constraint, and functional programming paradigms, but also also embracing a variety of other paradigms such as visual programming, executable specification languages, database languages, AI languages, and knowledge representation languages used, for example, in the semantic web.

The goal is to stimulate research in the use of logical formalisms and methods for specifying, performing, and analyzing computations, including mechanisms for mobility, modularity, concurrency, object-orientation, security, and static analysis. Papers related to the use of declarative paradigms and tools in industry and education are especially solicited.

Scope

Submissions are invited on all topics related to declarative programming, from principles to practice, from foundations to applications. Topics of interest include, but are not limited to

    Language Design: domain-specific languages; interoperability; concurrency, parallelism and distribution; modules; functional languages; logic languages; constraint languages; database languages; reactive languages; languages with objects; languages for quantum computing; languages inspired by biological and chemical computation; metaprogramming.

    Declarative languages in artificial intelligence: knowledge representation languages; probabilistic languages; differentiable languages.

    Implementations: abstract machines; interpreters; compilation; compile-time and run-time optimization; memory management.

    Foundations: types; logical frameworks; monads and effects; semantics.

    Analysis and Transformation: partial evaluation; abstract interpretation; control flow; data flow; information flow; termination analysis; resource analysis; type inference and type checking; verification; validation; debugging; testing.

    Tools and Applications: programming and proof environments; verification tools; case studies in proof assistants or interactive theorem provers; certification; novel applications of declarative programming inside and outside of CS; declarative programming pearls; practical experience reports and industrial application; education.
Last updated by Dou Sun in 2022-04-17
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
2005452044.4%
2004442147.7%
2003482450%
2002361850%
2001451942.2%
2000652640%
1999552240%
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