This paper presents an approach for comprehending large software systems using views that are created by subjecting the software systems to dynamic analysis under various use-case scenarios. Two sets of views are built from the runtime data: (1) graphs that capture the parts of the software?s architecture that pertain to the use-cases; and (2) metrics that measure the intricacy of the software and the similarity between the software?s use-cases. The Mozilla web browser was chosen as the subject software system in our case study due to its size, intricacy, and ability to expose the challenges of analyzing large systems.