Our project seeks to create a robot that can assist bartenders by creating cocktails for customers. We seek to create a fully functional 3-D robotic system that is able to upon user request assemble, package and serve a cocktail of their choosing. This embedded system will have a GUI that the user will be able to interact with.
Your NFR are not entirely verifiable. For example, your QR1 states your system must be robust. It is not quite clear what your definition of robustness is. I would suggest adding a rationale so one can understand how to verify robustness for your system. Also, for PR5, why would the ingredients only have an accuracy of 10%. Should the error margin not be 10%. I feel like making the accuracy amount as 10% makes the system seem flawed.
Your NFR are not entirely verifiable. For example, your QR1 states your system must be robust. It is not quite clear what your definition of robustness is. I would suggest adding a rationale so one can understand how to verify robustness for your system. Also, for PR5, why would the ingredients only have an accuracy of 10%. Should the error margin not be 10%. I feel like making the accuracy amount as 10% makes the system seem flawed.