Fuzz testing: analyze existing repository state
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 45/100
- Issue type
- Documentation
- Clarity
- Clearly specified
- Activity status
- Quiet
- Tech stack
- kotlin
- Domain
- testing-qa
Research direction
Start by searching the repository for randomized or property-based tests and inspecting test and CI configuration, including how JVM, native, and wasmJs tests run. Review the named parsing targets—skainet-io-gguf, skainet-io-safetensors, skainet-io-onnx, skainet-io-iree-params, tokenizer/BPE, skainet-lang, and skainet-compile—for relevant tests and TODOs or bug reports. Done means posting a concise evidence-based inventory and summary that can guide the design work in #981.
Written by the indexing model from the issue text.
Description
Sub-issue of #981 ("Enhance testing by adding fuzzing") — the A: ASSESS phase for that
proposal. Before designing or adopting anything, establish what's actually already here.
Goal
Inventory the repository's current state as it relates to fuzz testing, so #981's design phase
starts from facts rather than assumptions.
Tasks
- Search for any existing property-based / generative tests across the codebase (
kotlin.test
custom generators, hand-rolled randomized tests, anything resembling fuzzing today) —
distinguish these from ordinary parameterized/table tests. - Identify the highest-value fuzz targets: parsers and format readers are the classic fuzzing
sweet spot —skainet-io-gguf(GGUF),skainet-io-safetensors,skainet-io-onnx,
skainet-io-iree-params(irpa), the tokenizer/BPE code, and any binary/text format parsing
inskainet-lang/skainet-compile. - Check current test coverage tooling/config (if any) and whether coverage data is already
collected in CI, to know what a fuzzing effort would be building on top of vs. introducing
from scratch. - Note existing CI structure relevant to adding a new test category (build-logic conventions,
per-module test source sets, howjvmTest/native/wasmJstest execution differs — a fuzzer
is realistically JVM-only to start, given tooling maturity, so this matters for scoping). - Flag any known crash/hang/OOM bug reports or
TODO/FIXMEcomments near parsing code that
a fuzzer would likely have caught, as motivating examples.
Output
A short written summary (as a comment on this issue, or a doc page) other contributors can use
to scope #981's actual implementation plan — not code, just ground truth about what exists today.
Related
- Parent: #981
- Companion sub-issue (ecosystem research, can run in parallel): link added after creation
- Dominant language
- Kotlin
- Stars
- 52
- Forks
- 15
- Avg merge
- 1d 15h
- Merged PRs (30d)
- 36
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
- Read the contributing guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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