Multiple choice technology testing

Markov chains are an efficient way to handle MBT and can be called Statistical Model Based Testing.They are understood best as

  1. State tansition diagrams

  2. Finite State Machines weighted by probabilities on transitions.

  3. entity relelation ship diagram

  4. data flow diagram
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B Correct answer
Explanation

Markov chains in Model-Based Testing are best understood as Finite State Machines weighted by probabilities on transitions. Each state represents a test condition, and transitions represent possible paths with associated probabilities. This allows statistical generation of test cases and coverage assessment based on transition likelihoods. State transition diagrams are unweighted, while entity-relationship and data flow diagrams represent different modeling concepts.

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