On some reliability estimation problems in random and partition testing

Studies have shown that random testing can be an effective testing strategy. One of the goals of testing is to estimate the reliability of the program from the test outcomes. The authors extend the Thayer-Lipow-Nelson reliability model (R. Thayer et al., 1978) to account for the cost of errors. They also compare random testing with partition testing by examining upper confidence bounds for the cost weighted performance of the two strategies.<
>