Software Reliability and Analysis Research

Software Reliability and Analysis Research is a research topic within Software. Science Explorer counts 34k research works in it since 1951. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the assessment and prediction of software reliability, utilizing architecture-based approaches, testing-effort dependent models, neural networks, and fault detection and correction processes. It also explores the reliability of component-based systems, NHPP models, open source software, and sensitivity analysis using Markov chain models.

• Architecture-Based Approach
• Software Reliability Modeling
• Testing-Effort Dependent Models
• Component-Based Systems
• Neural Network
• Fault Detection and Correction
• NHPP Models
• Open Source Software
• Sensitivity Analysis
• Markov Chain Models