Welcome to the Diff Classifier Training
This session introduces the Diff Classifier — a custom script developed to compare golden outputs with newly generated outputs during regression testing. The goal is to quickly identify, classify, and prioritize differences so that verification teams can focus on meaningful changes rather than sifting through large output files manually.
We will cover:
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Purpose of the Diff Classifier – streamlining regression analysis by automating file comparisons.
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How It Works – parsing both golden and generated outputs, detecting differences, and categorizing them as expected, unexpected, or ignorable.
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Integration in Regression Flow – where and how the script fits into the IDS testing pipeline.
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Output Reports – understanding the diff summary, highlighted changes, and classification tags.
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Benefits – faster debugging, reduced manual review time, and improved regression efficiency.
Practical Demonstration:
We will run the Diff Classifier on sample golden and generated outputs, review the categorized differences, and show how this helps in making pass/fail decisions more quickly.
By the end of this session, you will know how to run the Diff Classifier, interpret its results, and integrate it into your daily regression workflow to speed up verification signoff.
