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Extra resources for ASEAN's Cooperative Security Enterprise: Norms and Interests in the ASEAN regional Forum (Critical Studies of the Asian Pacific)
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A decision tree can be defined as a tuple D = (N, E, PV, V, n, e), where N denotes a set of nodes (called decision points), denotes a set of edges, so that E describes a tree, PV denotes the set of parameters of variations from the commonality analysis, V denotes the universe of possible values for the parameters of variations, n denotes a labeling function and e denotes a labeling function The labeling function n assigns a set of parameters of variation to each node in the decision tree, so that each parameter of variation is assigned to at most one node of each (complete) path in the tree.
Fig. 5. 1 Domain Usecase Model The PRs are modeled as Domain Usecase model. This is modeled using a usecase modeling technique. A usecase model is a model of the system’s functionality and environment [9]. In this paper, a domain usecase model is defined as a usecase model with properties. A domain usecase model consists of a domain actor model and domain usecase diagrams. This model explicitly represents properties by using an extension of the UML. Table 1 show the UML extensions which will be used in the domain usecase model.
Let us look at an example. We can, for instance, use parameter of variation A for generalizing item “Start AV application”, since AV is a possible value of A. We then turn the concrete description item “Start AV application” into the generic description item Item1(A)=“Start (A) application”. Once an item is parameterized this way, we validate if all possible instantiations occur in the existing test suite. , we found an indication of missing test cases) or if the instantiation of the parameters is restricted to specific parameter settings.