Course: Intelligent Data Exploitation (Aprovechamiento Inteligente de Datos), UTN MSc Instructors: Cinthia Soledad Vegega, Dr. Florencia Pollo Cattaneo Group project with: Nicolas Agustin Molina, Romina Giselle Velasco - November 2024 An Artificial Intelligence project applying classical knowledge-based systems methodology — knowledge acquisition, taxonomy construction, ontology design (METHONTOLOGY), rule-based inference, and fuzzy logic to reduce false positives in bug report triage for an e-commerce platform. Objective: Determine which real failures correspond to actual software/application malfunctions in a supermarket e-commerce platform, as opposed to issues caused by the user's device configuration. I contributed as the domain expert consulted during the knowledge acquisition process, drawing on real-world QA/e-commerce troubleshooting experience, and collaborated on the taxonomy, ontology, and rule definitions with my teammates. All case scenarios presented are fictional and illustrative (not real client data).