Sentence examples for mutant operators generated from inspiring English sources

As mentioned before the approach was instantiated with the mutant operators generated by FMTS and pairwise implemented in the Combinatorial tool.

The mutation operators generate RBAC mutants by adding, modifying and removing elements from UR, PR, ≤ A, ≤ I, SSoD, and DSoD sets (e.g. add role to SSoD set).

Crossover operators generate child conformations by applying the crossover operator in all possible points (Algorithm 4) on two randomly selected parents.

Consider the operator generated by problem (5.1).

where is the solution operator generated by.

However, the authors do not present a solution for how to apply the mutation testing, i.e., which mutant operators should be used to generate the testing requirements.

Since Simulink-like models are ultimately converted into low level code, we have considered the available mutant operators for the C language as adequate to our experimentation when using the code generated from our Simulink-like models.

The operator generates all permutations of the perturbations and their individual frequencies.

Once each mutant is generated by a specific mutation operator we can identify classes of mutations which static analyzers are or are not adequate to detect.

To each change done by a mutation operator a new version of the system, called mutant, is generated.

Consider again the FM of Fig. 4. Figure 5 contains an example of mutant generated by the operator AFS (Add Feature to a Set relation (solitary feature to grouped)).