ISBN: 9781522596592 - crowdsourcing and probabilistic decision-making in software engineering: emerging research and opportunities (advances in systems analysis, software engineering, and high performance computing) (7 Ergebnisse)

Zustand: New.

hardcover. Zustand: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

HRD. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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-maki.…

Buch. Zustand: Neu. Crowdsourcing and Probabilistic Decision-Making in Software Engineering | Emerging Research and Opportunities | Varun Gupta | Buch | Gebunden | Englisch | 2019 | Engineering Science Reference | EAN 9781522596592 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Hardback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With today's 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 and natural language processing, 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. While highlighting topics such as modeling techniques and programming practices, this publication is ideally designed for software developers, software engineers, computer engineers, executives, professionals, and researchers.…