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.>

Random testing is receiving increasing attention in recent years. Aside from its relative simplicity and low cost, studies have shown that random testing is an effective testing strategy. An advantage of random testing is that the reliability of the program can be estimated from the test outcomes. The authors extend the Thayer-Lipow-Nelson reliability model to account for the cost of errors. They also compare random with partition testing by looking at upper confidence bounds for the cost weighted performance of the two strategies.>