Gupta V. (ed.) Crowdsourcing and Probabilistic Decision-Making in Software Engineering: Emerging Research and Opportunities

Engineering Science Reference, 2019. — 196 p.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 efficiently 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 how 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.Markov Decision Theory-Based Crowdsourcing Software Process Model
I-Way
Requirement-Based Test Approach and Traceability for High-Integrity Airborne Embedded Systems
A Systematic Literature Review on Risk Assessment and Mitigation Approaches in Requirement Engineering
Agile Team Measurement to Review the Performance in Global Software Development
Improving Construction Management Through Advanced Computing and Decision Making
An Investigation of Quality Perspective of Software Functional Artifacts
An Analysis of UI/UX Designing With Software Prototyping Tools
Improving Financial Estimation in Construction Management Through Advanced Computing and Decision Making
Independent Verification and Validation of FPGA-Based Design for Airborne Electronic Applications
Related Readings
About the Contributors