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authorAndrew Kreimer <algonell@gmail.com>2024-12-09 15:06:00 +0200
committerJonathan Corbet <corbet@lwn.net>2024-12-13 08:42:23 -0700
commit09cbeb5b301585343985e3b60d41425ff45d5961 (patch)
treeb11b942ce92e48e58ba849472d43cd5e896cf80f /Documentation/trace
parentbbf5254a5ab18b5a17e0c11a91a42d50a92bb5e1 (diff)
downloadlinux-next-09cbeb5b301585343985e3b60d41425ff45d5961.tar.gz
linux-next-09cbeb5b301585343985e3b60d41425ff45d5961.zip
Documentation/rv: Fix typos
There are some typos in the documentation: 'a' -> 'at', missing 'to'. Fix them. Signed-off-by: Andrew Kreimer <algonell@gmail.com> Acked-by: Steven Rostedt (Google) <rostedt@goodmis.org> Signed-off-by: Jonathan Corbet <corbet@lwn.net> Link: https://lore.kernel.org/r/20241209130640.10954-1-algonell@gmail.com
Diffstat (limited to 'Documentation/trace')
-rw-r--r--Documentation/trace/rv/runtime-verification.rst4
1 files changed, 2 insertions, 2 deletions
diff --git a/Documentation/trace/rv/runtime-verification.rst b/Documentation/trace/rv/runtime-verification.rst
index dae78dfa7cdc..c700dde9259c 100644
--- a/Documentation/trace/rv/runtime-verification.rst
+++ b/Documentation/trace/rv/runtime-verification.rst
@@ -8,14 +8,14 @@ checking* and *theorem proving*) with a more practical approach for complex
systems.
Instead of relying on a fine-grained model of a system (e.g., a
-re-implementation a instruction level), RV works by analyzing the trace of the
+re-implementation at instruction level), RV works by analyzing the trace of the
system's actual execution, comparing it against a formal specification of
the system behavior.
The main advantage is that RV can give precise information on the runtime
behavior of the monitored system, without the pitfalls of developing models
that require a re-implementation of the entire system in a modeling language.
-Moreover, given an efficient monitoring method, it is possible execute an
+Moreover, given an efficient monitoring method, it is possible to execute an
*online* verification of a system, enabling the *reaction* for unexpected
events, avoiding, for example, the propagation of a failure on safety-critical
systems.