Software testing and explainable: A study for evaluating XAI methods on software testing datasets

• المؤلف الرئيسي: Tay, Glenn
• مؤلفون آخرون: Fan Xiuyi
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2023
• الموضوعات: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Engineering::Computer science and engineering::Software::Software engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/166087

Explainable AI(XAI) is defined as a set of tools and frameworks used to make humans understand machine learning models which can often be ambiguous. 2 XAI techniques: SHapley Additive exPlanations(SHAP) and Local Interpretable Model-Agnostic Explanations(LIME) are state-of-the-art XAI tools th...