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Bayesian Models for Software Testing by Surendra Sharma is a document available to read on EtoBox.

This document discusses using Bayesian graphical models for software testing. Bayesian models can calculate probabilities based on predefined relationships between components. Nodes in the model represent software actions (SAs), which are fine-grained tasks accomplished by the software. Probabilities of failure for SAs are defined based on factors like complexity. As testing continues, the model is updated to change probabilities based on test results. The results show confidence that no faults remain in ea

Author
Surendra Sharma
Language
EN