EPMRPP-113667 || Include appropriate links in the Features articles#1090
EPMRPP-113667 || Include appropriate links in the Features articles#1090maria-hambardzumian merged 1 commit intodevelopfrom
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🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Inline comments:
In `@docs/features/AIFailureReasonDetection.md`:
- Line 27: The sentence under "ML-Based Suggestions" contains a grammatical typo
("while do manual analysis"); update the wording in the "ML-Based Suggestions"
bullet so it reads cleanly — for example: "Leveraging machine learning
algorithms, this feature provides suggestions for failures that are most similar
to ones you've encountered before while you perform manual analysis." Locate the
"ML-Based Suggestions" entry and replace the faulty phrase "while do manual
analysis" with "while you perform manual analysis" (or an equivalent natural
phrasing) to fix the user-facing documentation.
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📒 Files selected for processing (8)
docs/features/AIFailureReasonDetection.mddocs/features/CategorisationOfFailures.mddocs/features/QualityGates.mddocs/features/RichArtifactsInTestReports.mddocs/features/SCIMServerFeature.mddocs/features/TestExecutions.mddocs/features/UnifiedTestReporting.mddocs/features/VisualisationOfTestResults.md
| - **ML-Based Suggestions:** Leveraging machine learning algorithms, this feature provides suggestions for failures that are most similar to ones you've encountered before while do manual analysis. The suggestions guide your team in identifying the root causes of test failures more accurately and swiftly. | ||
| - [**Analyzer:**](/analysis/AutoAnalysisOfLaunches) This feature automatically classifies test failures, sparing your team the manual labor of sifting through results. Utilizing advanced algorithms, the Analyzer categorizes different types of test failures, so you can prioritize issues that need immediate attention. | ||
| - [**Unique Error:**](/analysis/UniqueErrorAnalysis) This tool groups identical test failures together for accelerated bulk analysis. By clustering similar failures, Unique Error allows for more efficient troubleshooting and quicker resolution of recurring issues. | ||
| - [**ML-Based Suggestions:**](/analysis/MLSuggestions) Leveraging machine learning algorithms, this feature provides suggestions for failures that are most similar to ones you've encountered before while do manual analysis. The suggestions guide your team in identifying the root causes of test failures more accurately and swiftly. |
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Fix grammar in ML suggestions sentence.
Line 27 has a wording issue: “while do manual analysis.” This reads as a typo in user-facing docs.
✏️ Proposed wording fix
-- [**ML-Based Suggestions:**](/analysis/MLSuggestions) Leveraging machine learning algorithms, this feature provides suggestions for failures that are most similar to ones you've encountered before while do manual analysis. The suggestions guide your team in identifying the root causes of test failures more accurately and swiftly.
+- [**ML-Based Suggestions:**](/analysis/MLSuggestions) Leveraging machine learning algorithms, this feature provides suggestions for failures that are most similar to ones you've encountered before while doing manual analysis. The suggestions guide your team in identifying the root causes of test failures more accurately and swiftly.📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| - [**ML-Based Suggestions:**](/analysis/MLSuggestions) Leveraging machine learning algorithms, this feature provides suggestions for failures that are most similar to ones you've encountered before while do manual analysis. The suggestions guide your team in identifying the root causes of test failures more accurately and swiftly. | |
| - [**ML-Based Suggestions:**](/analysis/MLSuggestions) Leveraging machine learning algorithms, this feature provides suggestions for failures that are most similar to ones you've encountered before while doing manual analysis. The suggestions guide your team in identifying the root causes of test failures more accurately and swiftly. |
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.
In `@docs/features/AIFailureReasonDetection.md` at line 27, The sentence under
"ML-Based Suggestions" contains a grammatical typo ("while do manual analysis");
update the wording in the "ML-Based Suggestions" bullet so it reads cleanly —
for example: "Leveraging machine learning algorithms, this feature provides
suggestions for failures that are most similar to ones you've encountered before
while you perform manual analysis." Locate the "ML-Based Suggestions" entry and
replace the faulty phrase "while do manual analysis" with "while you perform
manual analysis" (or an equivalent natural phrasing) to fix the user-facing
documentation.
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