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ZENODO
Software . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
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Catalia: Automated Catamorphism Synthesis for Solving Constrained Horn Clauses over Algebraic Data Types

Authors: Katsura, Hiroyuki; Kobayashi, Naoki; Sakayori, Ken; Sato, Ryosuke;

Catalia: Automated Catamorphism Synthesis for Solving Constrained Horn Clauses over Algebraic Data Types

Abstract

This artifact is Catalia, a CHC solver introduced in the paper "Automated Catamorphism Synthesis for Solving Constrained Horn Clauses over Algebraic Data Types", accepted at SAS 2025. Catalia is a CHC solver specialized for ADT-LIA instances. It was also used as a core part of the tool called ChocoCatalia, which won the ADT-LIA category of CHC-COMP 2025. This artifact provides a snapshot of the environment used for the evaluation in the paper, ensuring transparency and reproducibility. We also provide details of the benchmark used for the evaluation results. Authors Hiroyuki Katsura Naoki Kobayashi Ken Sakayori Ryosuke Sato Artifact Contents catalia.tar: Docker image of the artifact The main binary and related files are located in the /app directory. The main entry point is /app/run. The evaluation results used in the paper are located in the /app/results directory. How to Use the Artifact Download this Zenodo artifact. Load the Docker image into your environment: docker load < catalia.tar Note: Docker must be installed beforehand. 3. Run the Docker container and execute the solver: docker run -it catalia # /app/run /app/benchmark/inputs/24comp_ADT-LIA/chc-comp24-ADT-LIA-258.smt2 4. You can execute `eld` (Eldarica), `ringen` (RInGen), and `spacer` (Spacer) as well in the container. Note: The Docker image was created on an x86 machine. Performance may degrade on ARM-based systems. How to Run the Benchmark Scripts All the benchmark scripts for eldarica, RInGen and spacer are located in /app/scripts/bench2/bench. Before running a script, you need to run source /app/env to set the appropriate PATH. Catalia cd /app/ python3 bench.py --timeout 300 24comp_ADT-LIA --json /tmp/result.json --basedir /app/benchmark RInGen source /app/env cd /app/scripts/bench2/bench python3 ringen.py --timeout 300 24comp_ADT-LIA --json /tmp/ringen.json --basedir /app/benchmark Spacer source /app/env cd /app/scripts/bench2/bench python3 spacer.py --timeout 300 24comp_ADT-LIA --json /tmp/spacer.json --basedir /app/benchmark Eldarica source /app/env cd /app/scripts/bench2/bench python3 eldarica.py --timeout 300 24comp_ADT-LIA --json /tmp/eldarica.json --basedir /app/benchmark

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average