/Explainable-Model-for-Automated-Test-Case-Selection-based-on-Experience-Data

Industry require explainable model for these tasks. Since this domain is relatively new, before millions of dollars of experiementation and data collection, we can't confidently use a blackbox model. So here is a white box model.

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Industry require explainable model for these tasks. Since this domain is relatively new, before millions of dollars of experiementation and data collection, we can’t confidently use a blackbox model. So here is a white box model.

Why no blackbox model?

For low resource setting, a blackbox can’t learn good enough to be used in complex real world. So we use this - an explainable AI that leverages big LLMs to make predictions in a simple manner. Thus, it does not cause much of an issue even when it creates errorenous results.