Software Reliability Assessment and Prediction (Q169048): Difference between revisions

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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
Predicting software reliability using various models and methods to identify potential flaws.

Revision as of 14:50, 30 August 2024

Predicting software reliability using various models and methods to identify potential flaws.
  • 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
Language Label Description Also known as
English
Software Reliability Assessment and Prediction
Predicting software reliability using various models and methods to identify potential flaws.
  • 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

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subclass of
software
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