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Record W6930672160 · doi:10.5281/zenodo.15012085

Results of the 14th Intl. Competition on Software Verification (SV-COMP 2025)

2025· dataset· en· W6930672160 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsValidatorXMLCompetition (biology)SoftwareBenchmark (surveying)Table (database)Set (abstract data type)Software verification

Abstract

fetched live from OpenAlex

SV-COMP 2025 Update dbeyer 2026-04-27: There are some results files missing in this version of the archive. These missing files are provided in version 'svcomp25-additional-files' of the archive (https://doi.org/10.5281/zenodo.19823904). Competition Results This file describes the contents of an archive of the 14th Competition on Software Verification (SV-COMP 2025). https://sv-comp.sosy-lab.org/2025/ The competition was organized by Dirk Beyer, LMU Munich, Germany and Jan Strejček, Masaryk University, Czechia. More information is available in the following article: Dirk Beyer and Jan Strejček. Improvements in Software Verification and Witness Validation: SV-COMP 2025. In Proceedings of the 31st International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2025, Hamilton, Canada, May 3–8), 2024. Springer. doi:10.1007/978-3-031-90660-2_9 Copyright (C) 2025 Dirk Beyer and Jan Strejček https://www.sosy-lab.org/people/beyer/ https://www.fi.muni.cz/~xstrejc/ SPDX-License-Identifier: CC-BY-4.0 https://spdx.org/licenses/CC-BY-4.0 To browse the competition results with a web browser, there are two options: start a local web server using php -S localhost:8000 in order to view the data in this archive, or browse https://sv-comp.sosy-lab.org/2025/results/ in order to view the data on the SV-COMP web page. Contents index.html: directs to the overview web pages of the verification and validation track LICENSE-results.txt: specifies the license README-results.txt: this file results-validated/: results of validation runs results-verified/: results of verification runs The folder results-validated/ contains the results from validation runs: index.html: overview web page with rankings and score table design.css: HTML style definitions *.results.txt: TXT results from BenchExec *.xml.bz2: XML results from BenchExec *.fixed.xml.bz2: XML results from BenchExec, status adjusted according to the validation results *.logfiles.zip: output from tools *.json.gz: mapping from files names to SHA 256 hashes for the file content *.table.html: HTML views of the full benchmark set (all categories) for each validator *.table.html: HTML views of the benchmark set for each category over all validators *.xml: XML table definitions for the above tables validators.*: Statistics of the validator runs (obsolete) correctness: Infix for validation of correctness witnesses violation: Infix for validation of violation witnesses 1.0: Infix for validation of v1.0 witnesses 2.0: Infix for validation of v2.0 witnesses quantilePlot-*: score-based quantile plots as visualization of the results quantilePlotShow.gp: example Gnuplot script to generate a plot score*: accumulated score results in various formats witness-database.csv: data base of all witnesses witness-classification.csv: data base of all witnesses with their classification into correct, wrong, unknown The folder results-verified/ contains the results from verification runs and aggregated results: index.html: overview web page with rankings and score table design.css: HTML style definitions *.results.txt: TXT results from BenchExec *.xml.bz2: XML results from BenchExec *.fixed.xml.bz2: XML results from BenchExec, status adjusted according to the validation results *.logfiles.zip: output from tools *.json.gz: mapping from files names to SHA 256 hashes for the file content *.xml.bz2.table.html: HTML views on the detailed results data as generated by BenchExec’s table generator *.table.html: HTML views of the full benchmark set (all categories) for each verifier META_*.table.html: HTML views of the benchmark set for each meta category for each verifier, and over all verifiers *.table.html: HTML views of the benchmark set for each category over all verifiers *.xml: XML table definitions for the above tables results-per-tool.php: List of results for each tool for review process in pre-run phase .list.html: List of results for a tool in HTML format with links quantilePlot-*: score-based quantile plots as visualization of the results quantilePlotShow.gp: example Gnuplot script to generate a plot score*: accumulated score results in various formats The hashes of the file names (in the files *.json.gz) are useful for validating the exact contents of a file and accessing the files from the witness store. Related Archives Overview of archives from SV-COMP 2025 that are available at Zenodo: https://doi.org/10.5281/zenodo.15012077 Verification Witnesses from SV-COMP 2025 Verification Tools. Witness store (containing the generated verification witnesses) https://doi.org/10.5281/zenodo.15055359 Verifiers and Validators: FM-Tools Data Set for SV-COMP 2025. Metadata snapshot of the evaluated tools (DOIs, options, etc.) https://doi.org/10.5281/zenodo.15012085 Results of the 14th Intl. Competition on Software Verification (SV-COMP 2025). Results (XML result files, log files, file mappings, HTML tables) https://doi.org/10.5281/zenodo.15012096 SV-Benchmarks: Benchmark Set of SV-COMP 2025. Verification tasks, version svcomp24 https://doi.org/10.5281/zenodo.15007216 BenchExec, version 3.29. Benchmarking framework All benchmarks were executed for SV-COMP 2025 https://sv-comp.sosy-lab.org/2025/ by Dirk Beyer, LMU Munich, based on the following components: https://gitlab.com/sosy-lab/benchmarking/fm-tools 2.2 https://gitlab.com/sosy-lab/benchmarking/sv-benchmarks svcomp25 https://gitlab.com/sosy-lab/sv-comp/bench-defs svcomp25 https://gitlab.com/sosy-lab/software/benchexec 3.29 https://gitlab.com/sosy-lab/software/benchcloud 1.3.0 https://gitlab.com/sosy-lab/benchmarking/sv-witnesses 2.0.3 https://gitlab.com/sosy-lab/software/coveriteam 1.2.1 https://gitlab.com/sosy-lab/benchmarking/competition-scripts svcomp25 Contact Feel free to contact me in case of questions: https://www.sosy-lab.org/people/beyer/

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.039
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.201
Threshold uncertainty score0.672

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0390.039
Meta-epidemiology (narrow)0.0050.002
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0070.005
Science and technology studies0.0030.002
Scholarly communication0.0170.007
Open science0.0060.009
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.2010.206

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.260
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2025
Admission routes1
Has abstractyes

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