Crowdsourcing and probabilistic decision-making in software engineering

"This book examines crowd-based software engineering. It explores effective solutions, automation supports, and case studies about crowd-based software engineering"--

Bibliographic Details
Other Authors: Gupta, Varun, 1987-
Format: eBook
Language:English
Published: Hershey, Pennsylvania IGI Global, [2020]
Series:Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series.
Subjects:
Online Access:EBSCOhost
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Table of Contents:
  • Chapter 1. Markov decision theory-based crowdsourcing software process model
  • Chapter 2. I-way: a cloud-based recommendation system for software requirement reusability
  • Chapter 3. Requirement-based test approach and traceability for high-integrity airborne embedded systems
  • Chapter 4. A systematic literature review on risk assessment and mitigation approaches in requirement engineering
  • Chapter 5. Agile Team measurement to review the performance in global software development
  • Chapter 6. Improving construction management through advanced computing and decision making
  • Chapter 7. An investigation on quality perspective of software functional artifacts
  • Chapter 8. An analysis of UI/UX designing with software prototyping tools
  • Chapter 9. Improving financial estimation in construction management through advanced computing and decision making
  • Chapter 10. Independent verification and validation of FPGA-based design for airborne electronic applications.