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Evaluating Testing Methods by Delivered Reliability

Evaluating Testing Methods by Delivered Reliability. Frankl, Hamlet, Littlewood, Strigini IEEE TOSE Aug98. Theta. Q - failure probability for a randomly drawn point E( Q ) – expected value of failure probability. 3.3 single failure region, with sub. Debug with subdomains

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Evaluating Testing Methods by Delivered Reliability

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  1. Evaluating Testing Methods by Delivered Reliability Frankl, Hamlet, Littlewood, Strigini IEEE TOSE Aug98

  2. Theta • Q - failure probability for a randomly drawn point • E(Q) – expected value of failure probability

  3. 3.3 single failure region, with sub • Debug with subdomains • E(Q) = qP(1-di)T • Operational • E(Q) = q(1-q)T

  4. Triangle Code cin >> a >> b >> c; type = “scalene” if (a == b || a == c || b == c) type = “isosceles”; if (a == b && b == c) type = “equilateral”; if (a>=b+c||b>=a+c||c>=a+b) type = “not a triangle”; if(a<=0||b<=0||c<=0) type = “bad inputs”; cout<< type

  5. Test Case Prioritization:A Family of Empirical Studies Elbaum, etal IEEE TSE Feb 2002

  6. Regression Testing • When is it done? • Why is prioritization important?

  7. Rate of fault detection • How is this different than Theta (Q)?

  8. Granularity • Fine • Coarser

  9. Mutation Coverage • Insert “standard” faults to create set of mutants • A mutant is “killed” if its output is different than “oracle” • Run test cases until all mutants are killed • Or, calculate how many mutants are killed by each test case

  10. Hypothesis • What was their expectation?

  11. Table 1 - techniques

  12. Figure 1

  13. APFD

  14. Figure 2

  15. Figure 4

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