Overall, taking into account subgenome dominance and centromere functionality, this scenario is rejected.
The decompositional method is used at an informal level with the goal of achieving a complete coverage of the user's functional requirements, while the compositional method is used to precisely define the functionality of each scenario and to construct complex scenarios by composition of simple scenarios in a formal, intuitive language called SOFL.
A similar, yet less flexible, system is proposed by (Huang, Lin, & Cheng, 2009), which provides CAT functionality for eLearning scenarios.
In this article, we assume a type of isolated sensor network and a special sink, eNB, which solve the contradiction between the UE and the sink in terms of functionality in convergent scenario.
However, we also relied on its model finding functionalities to generate scenarios that helped the different stakeholders consensually establishing the system's requirements.
To illustrate this functionality, we consider Scenario 1 from Dmitrienko and Tamhane (2009) and assume the unadjusted p-values p1=0.0121, p2=0.0337, p3=0.0084, and p4=0.0160, which are entered directly into the GUI.
Additionally, this work does not analyze the performance and functionality of private cloud scenarios.
Then, a comparison based on application scenarios and functionality was performed, which was summarized in Table 4.
Unfortunately, this tool has never been released by the author and the work does not investigate the performance and functionality of private cloud scenarios.
In some scenarios, this functionality could be obtained by analyzing the source and destination IP addresses and transport layer's port numbers.
