What process requirements must exist before an automation model can be developed?
There are two types of models: data collection and data manipulation. Data collection models do not need real requirements to be created. The only real requirement is that we must work within the software’s parameters when collecting data. Data manipulation models must have static rules. Static rules mean that if you are going to manipulate part of the given data or all of the data then you must be able to identify the process of how to manipulate the data meaning. If you have random data which has no flow, no repetitiveness and no way to identify components of the data, then the data cannot be created. If components of the data can be identified and the same method of manipulation is always executed on the given data, then this is a static rule. If static rules exist, then we can create a data manipulation model. Quite often the process of data identification may appear to be extremely complex, but is simplified as long as the data can be identified and is always manipulated in the sa