Sentence examples for variations points in the from inspiring English sources

The proposed method motivates the introduction of variations points in the SPL core architecture to address different choices of exception handlers during product derivation.

Having a feature model along with a reference model developed in the domain engineering lifecycle, a concrete product of the family is derived by binding the variation points in the feature model (called configuration process) and by instantiating the reference model.

We also found evidence that the specification of variabilities at the end of the use cases favors the comprehension of them and the use of questions associated to the variation points in the use cases improves the understanding of use cases.

According the framework of (Ali et al. 2010), for each variation point in the goal model, the software engineer has to decide if a variation point is context-dependent or not.

The variations (point mutations) in the reads detected in the microginin gene clusters point towards some sequence variation between the copies.

Thus, contexts in our work can be associated with the following variation points in a goal model: Or-refinement: the adoptability of a subgoal (subtask) may require a specific context to hold as a pre-condition for the applicability of the corresponding goal model variant.

With the tags, use cases can also have a section where the variations are defined; Alternative scenarios: The use case template describes the variations through alternative scenarios within the use cases description; Specific section: The use case template describes all information about the variation points in a specific section.

Specific M&S applications are supported through customization of the variation points in cMoS.

Distance from the origin is a surrogate for significant variation, and points in the same direction from the center use the set of words with similar frequencies.

Thus, particularly steep delay discounting (increased impulsivity) in those with both long DRD4 and A1 DRD2 alleles may reflect the concurrent variation in two key points in the reward decision-making loops spanning the corticostriatal-mesolimbic axis.

This allows for point-to-point variation in the amount of spatial smoothness and restricts the allowable solutions to the grey matter (based on the probabilistic brain tissue maps available from the Montreal Neurological Institute[48]).