Sorry for asking again. I have asked this question but it seems that the system deleted it. Can you give an example of white and black box testing? Thank you.
Hello thank you for your question. In our model we include both black box and white box features. Indeed for a beginner level of learning it is interesting to include in the functionalities the black box functionality of the blockchain as indicated in the reference [Du, W. (Derek), Pan, S. L., Leidner, D. E., & Ying, W. (2018). Affordances, experimentation and actualization of FinTech: A blockchain implementation study. The Journal of Strategic Information Systems. doi:10.1016/j.jsis.2018.10.002 ] by the assertion "The [blockchain] technology was too novel and complex for users to understand. Therefore, we kept it as a black box and only demonstrated the business applications [it supported] ... In fact, what users really care about is whether the system is useful rather than what the underlying technology is". Example of a study on this aspect we have the reference [7] which presents an application that allows users i.e. learners to enter themselves the elements related to a blockchain concept via a graphical user interface. The latter shows the black box functionalities of the low level details.
For other levels of blockchain knowledge, more in-depth knowledge of the internal workings of the blockchain is required. The whitebox part is interesting. As an example we have the use case "Encrypted Network Messages:" to evaluate the impact on performance when nodes encrypt and decrypt all network messages in the blocksim proposal[8].
That's why in our model we focus on black box and white box operation. As an example, in our model, for a property such as the type of the blockchain we have use cases such as defining a type, an impact of an attribute of a type, a protocol encapsulating the type and their impact on a solution based on the blckchain protocol in terms of access; scalability, point of failure, ... Thus, the simulation focuses on both the functioning and the compromises related to the model but also their internal source.
