AI-Based Technique for Efficient XPath Correction in Automated Testing Framework

Inidial Data.xml: Contains records from dataverse_ai before any weight adjustments. It includes attributes like tag, class, style, attributes, text, lazy_load, and weights (weight_context, weight_numeric, weight_class, weight_style, weight_attributes). Each record also indicates a pass_fail status, reflecting the success or failure of predicting the changed XPath of the element. Optimized Data.xml: Reflects dataverse_ai_updated post-optimization of weights to enhance prediction accuracy of the changed XPath. Attributes remain consistent, possibly with modified weights (weight_context, weight_numeric, weight_class, weight_style, weight_attributes). The dataset serves to evaluate the effectiveness of weight adjustments in improving the prediction success rate of the element's changed XPath.