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Differential D121760

[libfuzzer] improve introductory sentence
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Authored by tniessen on Mar 15 2022, 5:02 PM.

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vitalybuka
Commits
rGeaafa7001723: [libfuzzer] improve introductory sentence
Summary

This merely adds a missing "an" in the introductory sentence.

Diff Detail

Event Timeline

tniessen created this revision.Mar 15 2022, 5:02 PM
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tniessen requested review of this revision.Mar 15 2022, 5:02 PM
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Harbormaster completed remote builds in B154469: Diff 415639.Mar 15 2022, 5:03 PM
tniessen added a reviewer: vitalybuka.Mar 15 2022, 5:05 PM
vitalybuka accepted this revision.Mar 15 2022, 5:12 PM
This revision is now accepted and ready to land.Mar 15 2022, 5:12 PM
This revision was landed with ongoing or failed builds.Mar 15 2022, 5:19 PM
Closed by commit rGeaafa7001723: [libfuzzer] improve introductory sentence (authored by tniessen, committed by vitalybuka). · Explain Why
This revision was automatically updated to reflect the committed changes.
vitalybuka added a commit: rGeaafa7001723: [libfuzzer] improve introductory sentence.

Revision Contents

PathSize
llvm/
docs/
2 lines

Diff 415647

llvm/docs/LibFuzzer.rst

======================================================= =======================================================
libFuzzer – a library for coverage-guided fuzz testing. libFuzzer – a library for coverage-guided fuzz testing.
======================================================= =======================================================
.. contents:: .. contents::
:local: :local:
:depth: 1 :depth: 1
Introduction Introduction
============ ============
LibFuzzer is in-process, coverage-guided, evolutionary fuzzing engine. LibFuzzer is an in-process, coverage-guided, evolutionary fuzzing engine.
LibFuzzer is linked with the library under test, and feeds fuzzed inputs to the LibFuzzer is linked with the library under test, and feeds fuzzed inputs to the
library via a specific fuzzing entrypoint (aka "target function"); the fuzzer library via a specific fuzzing entrypoint (aka "target function"); the fuzzer
then tracks which areas of the code are reached, and generates mutations on the then tracks which areas of the code are reached, and generates mutations on the
corpus of input data in order to maximize the code coverage. corpus of input data in order to maximize the code coverage.
The code coverage The code coverage
information for libFuzzer is provided by LLVM's SanitizerCoverage_ information for libFuzzer is provided by LLVM's SanitizerCoverage_
instrumentation. instrumentation.
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