Crowdsourcing and Probabilistic Decision-Making in Software Engineering : Emerging Research and Opportunities

Varun Gupta

ISBN 10: 1522596593 / ISBN 13: 9781522596592

Edité par Engineering Science Reference, 2019

A propos de cet article

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.

N° de réf. du vendeur 9781522596592

Détails bibliographiques

• Titre: Crowdsourcing and Probabilistic Decision-Making in Software Engineering : Emerging Research and Opportunities
• Éditeur: Engineering Science Reference
• Date de parution: 2019
• Langue: anglais
• ISBN à 10 chiffres: 1522596593
• ISBN à 13 chiffres: 9781522596592
• Reliure: Buch
• État de l'article: Neu

A propos de ce titre

Synopsis

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.

À propos de l?auteur

Varun Gupta received his Ph.D & Master of Technology (By Research) in Computer Science & Engineering from Uttarakhand Technical University and Bachelor of Technology (Hon's) from Himachal Pradesh University respectively. Dr. Varun Gupta is working with Universidade da Beira Interior, Portugal. He is also Honorary Research Fellow of the University of Salford, Manchester, United Kingdom. He is Associate Editor of IEEE Access (Published by IEEE, SCIE Indexed with 4.098 impact factor), Associate Editor of International Journal of Computer Aided Engineering & Technology (Published by Inderscience Publishers, Scopus indexed), Associate Editor of IEEE Software Blog, Associate editor of Journal of Cases on Information Technology (JCIT) (Published by IGI Global and Indexed by Emerging Sources Citation Index (ESCI) & SCOPUS) and former Editorial Team Member of British Journal of Educational Technology (BJET) (Published by Wiley publishers, SCIE Indexed with 2.729 impact factor). He had been Guest Editor of many special issues published/ongoing with leading International Journals and Editor of many edited books to be published by IGI Global and Taylor & Francis (CRC Press). He had organized many special session with Scopus Indexed International Conferences worldwide, proceedings of which were published by Springer, IEEE, Elsevier etc. He is serving as reviewer of IEEE Transactions on Emerging Topics in Computational Intelligence. His area of interest is Evolutionary Software Engineering (focusing on Requirement management, Global developments, Software Testing) for multinational firms and Start-ups.