Semantic Intelligence in Test Automation: Context-Driven Adaptation Through Natural Language Understanding and Machine Learning
Paper Title: Semantic Intelligence in Test Automation: Context-Driven Adaptation Through Natural Language Understanding and Machine Learning Partha Sarathi Samal, Suresh Kumar Palus and Sai Kiran Padmam, Independent Researcher, USA Abstract: Test automation remains essential but increasingly brittle as applications evolve rapidly. This journal article introduces a semantic intelligence approach to test automation, enabling contextdriven adaptation through Natural Language Understanding (NLU), contextual reasoning, and machine learning. Unlike prior work that emphasizes locator-level self-healing alone, this study treats semantic understanding and business context awareness as first-class capabilities for resilient, self-adapting test systems. The framework learns from application behavior patterns, user workflows, and business rules to guide test execution, validation, and adaptation decisions. Through evaluation across 47 enterprise applications spanning finance, retail, healthc...
