In this book, we first provide a concise yet essential introduction to the most important aspects of Explainable AI and a hands-on tutorial of Explainable AI ...
Dec 3, 2020 · In this article, we first highlight the need for explainable AI in software engineering. Then, we summarize three successful case studies on how ...
In this tutorial, we first provide a concise yet essential introduction to the most important aspects of Explainable AI and a hands-on tutorial of Explainable ...
People also ask
What is explainable AI in software testing?
Can you do AI with software engineering?
What is explainability in software engineering?
What are examples of explainable AI?
Feb 14, 2023 · This study encourages the researchers to work on the identified challenges and roadmap reported in the paper. Keywords: Explainable AI for ...
We found that practitioners perceive that the explainability and actionability of software analytics are as equally useful as the predictions.
In this tutorial, we first provide a concise yet essential introduction to the most important aspects of Explainable AI and a hands-on tutorial of Explainable ...
Jan 17, 2022 · Explainable AI refers to the set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning ...
Apr 26, 2023 · AI/ML have been widely used in software engineering (SE) to improve developer productivity, software quality, and decision making.
Explainability is a non-functional requirement for software systems that focuses on providing information about specific aspects to a particular audience.
Context: In recent years, leveraging machine learning (ML) techniques has become one of the main solutions to tackle many software engineering (SE) tasks, ...