This paper presents a dynamic technique for statistically estimating three p r ogram characteristics that a ect a program's computational behavior: 1 the probability that a particular section of a program is executed, 2 the probability that the particular section a ects the data state, and 3 the probability that a data state produced by that section has an e ect on program output. These three characteristics can be used to predict whether faults are likely to be uncovered by software testing.
Voas REF proposed a dynamic technique coined propagation, infection, and execution (PIE) analysis for statistically estimating the program's fault sensitivity.
PIE: A dynamic failure-based technique
IEEE Transactions on Software Engineering
Computer Science