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37 lines
2.8 KiB
Markdown
37 lines
2.8 KiB
Markdown
# From Matching Functions to Matching Executables
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In this section, we discuss the Executable Results table.
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Each row of this table corresponds to one executable in the database.
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The information in one row is an aggregation of all of the function-level matches into that row's executable.
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Your Executable Results table from the previous query should look similar to the following:
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If you select a single row in the table and right-click on it, you will see the following actions:
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- **Load Executable**
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Opens a read-only copy of the program in the Code Browser.
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- **Filter on this Executable**
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Applies a filter which restricts the matches shown in the Function Matches table to matches which occur in the given executable.
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## Exercise
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1. Sort the Executable results by descending **Function Count**.
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An entry in this column shows the number of queried functions which have at least one match in the row's executable (if ``foo`` has 2 or more matches into a given executable, it still only contributes 1 to the function count).
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What position is ``demangler_gnu_v2_41``?
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<details><summary>In this table...</summary> It's in the first position.</details>
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1. An entry in the **Confidence** column shows the sum of the confidence scores of all matches into the corresponding executable.
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If ``foo`` has more than one match into a given executable, only the one with the highest (function-level) confidence contributes to the (executable-level) confidence score.
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Sort the Executable results by descending confidence and observe that ``demangler_gnu_v2_41`` is now much further down the list.
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<details><summary>What could explain this?</summary> If there are many function matches but the sum of all the confidences is relatively low, it is likely that many of the matches involve small functions with common BSim signatures.</details>
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1. In the Executable match table, right click on ``demangler_gnu_v2_41`` and apply the filter action.
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Sort the filtered function matches by descending confidence.
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Starting at the top, examine some of the matches and convince yourself that the given explanation is correct.
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- **Note**: You can remove the filter using the **Filter Results** icon  in the toolbar.
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We'll discuss this further in [BSim Filters](BSimTutorial_Filters.md)
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From this exercise, we see that unrelated functions can be duplicates of each other, either because they are small or because they perform a common generic action.
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Keep in mind that such functions can "pollute" the results of a blanket query.
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In the next section, we demonstrate a technique to restrict queries to functions which are more likely to have meaningful matches.
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Next Section: [Overview Queries](BSimTutorial_Overview_Queries.md)
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