Evolutionary Testing Using an Extended Chaining Approach

by Phil McMinn, and Mike Holcombe

Evolutionary Computation, 2006



Fitness functions derived from certain types of white-box test goals can be inadequate for evolutionary software test data generation (Evolutionary Testing), due to a lack of search guidance to the required test data. Often this is because the fitness function does not take into account data dependencies within the program under test, and the fact that certain program statements may need to have been executed prior to the target structure in order for it to be feasible. This paper proposes a solution to this problem by hybridizing Evolutionary Testing with an extended Chaining Approach. The Chaining Approach is a method ... [more]


Reference

Phil McMinn, and Mike Holcombe. Evolutionary Testing Using an Extended Chaining Approach. Evolutionary Computation, vol. 14, no. 1, pp. 41–64, 2006


Bibtex Entry
@article{McMinn2006,
  author  = "McMinn, Phil and Holcombe, Mike",
  title   = "Evolutionary Testing Using an Extended Chaining Approach",
  journal = "Evolutionary Computation",
  volume  = "14",
  number  = "1",
  pages   = "41--64",
  year    = "2006"
}