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It employs machine learning, data mining, and deep learning techniques to process the data generated during the crowdsourced testing process, to facilitate the management of crowdsourced testing, and to improve the quality of crowdsourced testing.
This book provides insights into contemporary issues and challenges in Multi-Criteria decision Models. It is a useful guide for identifying, understanding and categorizing Multi-Criteria Decision Models, and ultimately implementing the analysis for effective decision-making.
Model-based testing has long been used in Europe and is becoming more popular in the U.S. and the rest of the world. This book examines systems and software models,... Læs mere
AI presents a new paradigm in the development of software, representing the biggest change to how we think about quality and... Læs mere
This book constitutes the refereed proceedings of the 18th International... Læs mere