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# VMCAI '24 Artifact Description | ||
## Correctness Witness Validation by Abstract Interpretation | ||
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This is the artifact description for our [VMCAI '24 paper "Correctness Witness Validation by Abstract Interpretation"](https://doi.org/10.1007/978-3-031-50524-9_4). | ||
The artifact is available on [Zenodo](https://doi.org/10.5281/zenodo.8253000). | ||
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This artifact contains everything mentioned in the evaluation section of the paper: Goblint implementation, scripts, benchmarks, manual witnesses and other tools. | ||
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**The description here is provided for convenience and not maintained.** | ||
The artifact is based on [Goblint at `vmcai24` git tag](https://github.com/goblint/analyzer/releases/tag/vmcai24) and [Goblint benchmarks at `vmcai24` git tag](https://github.com/goblint/bench/releases/tag/vmcai24). | ||
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## Requirements | ||
* [VirtualBox](https://www.virtualbox.org/). | ||
* 2 CPU cores. | ||
* 8 GB RAM. | ||
* 7 GB disk space. | ||
* ~45min. | ||
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## Layout | ||
* `README.md`/`README.pdf` — this file. | ||
* `LICENSE`. | ||
* `unassume.ova` — VirtualBox virtual machine. | ||
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In `/home/vagrant` contains: | ||
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* `goblint/` — Goblint with unassume support, including source code. | ||
* `CPAchecker-2.2-unix/` — CPAchecker from [SV-COMP 2023 archives](https://gitlab.com/sosy-lab/sv-comp/archives-2023). | ||
* `UAutomizer-linux/` — Ultimate Automizer from [SV-COMP 2023 archives](https://gitlab.com/sosy-lab/sv-comp/archives-2023). | ||
* `eval-prec/` — precision evaluation (script, benchmarks, manual witnesses). | ||
* `eval-perf/` — performance evaluation (script, benchmarks, manual witnesses). | ||
* `results/` — results (initially empty). | ||
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* `results/` — evaluation results tables with data used for the paper. | ||
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## Reproduction | ||
1. Import the virtual machine into VirtualBox. | ||
2. Start the virtual machine and log in with username "vagrant" (not "Ubuntu"!) and password "vagrant". | ||
3. Right click on the desktop and open Applications → Accessories → Terminal Emulator. | ||
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### Precision evaluation | ||
1. Run `./eval-prec/run.sh` in the terminal emulator. This takes ~42min. | ||
2. Run `firefox results/eval-prec/table-generator.table.html` to view the results. | ||
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The HTML table contains the following status columns (cputime, walltime and memory can be ignored): | ||
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1. Goblint w/o witness (true means verified). | ||
2. Goblint w/ manual witness (true means witness validated). | ||
3. Goblint w/ witness from CPAchecker (true means program verified with witness-guidance). | ||
4. Goblint w/ witness from CPAchecker (true means witness validated). | ||
5. Goblint w/ witness from UAutomizer (true means program verified with witness-guidance). | ||
6. Goblint w/ witness from UAutomizer (true means witness validated). | ||
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Table 1 in the paper presents these results, except the rows are likely in a different order. | ||
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### Performance evaluation | ||
1. Run `./eval-perf/run.sh` in the terminal emulator. This takes ~30s. | ||
2. Run `firefox results/eval-perf/table-generator.table.html` to view the results. | ||
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The HTML table contains the following relevant columns (others can be ignored): | ||
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1. Goblint w/o witness, evals. | ||
2. Goblint w/o witness, cputime. | ||
3. Goblint w/ manual witness, evals. | ||
4. Goblint w/ manual witness, cputime. | ||
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Table 2 in the paper presents these results, except the rows are likely in a different order. | ||
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## Goblint implementation | ||
[Goblint](https://github.com/goblint/analyzer) is an open source static analysis framework for C. | ||
Goblint itself is written in OCaml. | ||
Being open source, it allows existing implementations of analyses and abstract domains to be reused and modified. | ||
As a framework, it also allows new ones to be easily added. | ||
For more details, refer to the linked GitHub repository and related documentation. | ||
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Key parts of the code related to this paper are the following: | ||
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1. `src/analyses/unassumeAnalysis.ml`: analysis, which emits unassume operation events to other analyses for YAML-witness–guided verification. | ||
2. `src/analyses/base.ml` lines 2551–2641: propagating unassume for non-relational domains of the `base` analysis. | ||
3. `src/analyses/apron/relationAnalysis.apron.ml` lines 668–693: strengthening-based dual-narrowing unassume for relational Apron domains of the `apron` analysis. | ||
4. `src/cdomains/apron/apronDomain.apron.ml` lines 625–679: strengthening operator used for dual-narrowing of Apron domains. | ||
5. `src/util/wideningTokens.ml`: analysis lifter that adds widening tokens for delaying widenings from unassuming. | ||
6. `src/witness/yamlWitness.ml` lines 398–683: YAML witness validation. |
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