Large enterprise level systems often have their own application
software layer wrapped over large software tools or products from
commercial vendors. From time to time, vendors release patches
which update or enhance the products to meet various requirements.
However, applying the patches often introduces risk that the
wrapper software layer might behave incorrectly, especially if the
customer has little knowledge of the linkage between the
application layer and the vendor provided system (for example,
because the application itself is a legacy system). So there is
always the need for analyzing the impact of patches and reducing
the risk in applying them. Impact analysis depends on two sources
of knowledge -- the physical modifications made by a patch and a
dependency graph of the entities in the system. This thesis
provides an empirical approach to finding modifications and
generating dependency graphs that can be used for impact analysis.
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