Programming Languages and Systems

32nd European Symposium on Programming, ESOP 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2023, Paris, France, April 22–27, 2023, Proceedings

AvThomas Wies

Häftad, Engelska, 2023

Del 13990 i serien Lecture Notes in Computer Science

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Beskrivning

This open access book constitutes the proceedings of the 32nd European Symposium on Programming, ESOP 2023, which was held during April 22-27, 2023, in Paris, France, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2023.The 20 regular papers presented in this volume were carefully reviewed and selected from 55 submissions. They deal with fundamental issues in the specification, design, analysis, and implementation of programming languages and systems.

Produktinformation

Utgivningsdatum:2023-04-18
Mått:155 x 235 x 32 mm
Vikt:867 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:566
Förlag:Springer International Publishing AG
ISBN:9783031300431

Utforska kategorier

Programmeringsböcker inom Data och IT

Innehållsförteckning

Logics for extensional, locally complete analysis via domain refinements.- Clustered Relational Thread-Modular Abstract Interpretation with Local Traces.- Adversarial Reachability for Program-level Security Analysis.- Automated Grading of Regular Expressions.- Builtin Types viewed as Inductive Families.- Pragmatic Gradual Polymorphism with References.- Modal crash types for intermittent computing.- Gradual Tensor Shape Checking.- A Type System for Effect Handlers and Dynamic Labels.- Interpreting Knowledge-based Programs.- Contextual Modal Type Theory with Polymorphic Contexts.- A Complete Inference System for Skip-free Guarded Kleene Algebra with Tests.- Quorum Tree Abstractions of Consensus Protocols.- MAG π : Types for Failure-Prone Communication.- System $Fˆ\mu \omega$ with Context-free Session Types.- Safe Session-Based Concurrency with Shared Linear State.- Bunched Fuzz: Sensitivity for Vector Metrics.- Fast and Correct Gradient-Based Optimisation for Probabilistic Programmingvia Smoothing.- Type-safe Quantum Programming in Idris.- Automatic Alignment in Higher-Order Probabilistic Programming Languages.