
Автор: Varun Gupta
Издательство: IGI Global
Год: 2020
Страниц: 196
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
With todays technological advancements, the evolution of software has led to various challenges regarding mass markets and crowds. High quality processing must be capable of handling large groups in an efficient manner without error. Solutions that have been applied include Artificial Intelligence (AI) and natural language processing (NLP), but extensive research in this area has yet to be undertaken. Crowdsourcing and Probabilistic Decision-Making in Software Engineering: Emerging Research and Opportunities is a pivotal reference source that provides vital research on the application of crowd-based software engineering and supports software engineers who want to improve the manner in which software is developed by increasing the accuracy of probabilistic reasoning to support their decision-making and getting automation support.