Deriving an Erlang Interpreter from a Mechanised Formal Semantics of Core Erlang

We present an interpreter for Erlang in Haskell, derived from a formal semantics for Core Erlang mechanised in Coq. The interpreter function is derived from the Coq inductive definitions that make up the semantics by extracting Haskell code from Gallina functions provably equivalent to the inductive definitions, and optimising the result. The semantics is inherently non-deterministic, and it is made deterministic by introducing a scheduler component; we also present a computation graph that shows all the non-deterministic choices that arise during computation. The paper concludes with an evaluation of the work and preliminary performance data.

Institutions

Publication Details

Published
2025-10-09
DOI
https://doi.org/10.1145/3759161.3763046
Primary Topic
Eating Disorders and Behaviors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Deriving an Erlang Interpreter from a Mechanised Formal Semantics of Core Erlang

Eating Disorders and Behaviors
article

Deriving an Erlang Interpreter from a Mechanised Formal Semantics of Core Erlang

article en

Abstract

We present an interpreter for Erlang in Haskell, derived from a formal semantics for Core Erlang mechanised in Coq. The interpreter function is derived from the Coq inductive definitions that make up the semantics by extracting Haskell code from Gallina functions provably equivalent to the inductive definitions, and optimising the result. The semantics is inherently non-deterministic, and it is made deterministic by introducing a scheduler component; we also present a computation graph that shows all the non-deterministic choices that arise during computation. The paper concludes with an evaluation of the work and preliminary performance data.

Eötvös Loránd University (HU), University of Kent (GB)
Reduced inequalities
Openalex Percentile: Top 37%
Eating Disorders and Behaviors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.