A significant challenge in understanding the evolution of a software system is coping with
the huge amounts of data left behind during the evolution. One strategy for summarizing
this data is to visualize its effect on the system’s architecture. Existing tools that implement
this strategy often provide mechanisms to filter the data under consideration. However, this
filtering is generally limited to showing the evolution over some unbroken sequence of
time, for example the changes over the last six months.
In this work we present an alternative approach designed to provide a method for examining the net effect of any set of changes on a systems architecture. We also present Motive,
a prototype tool that implements this approach, and demonstrate how it can be used to answer questions about software evolution by describing case studies we conducted on two
Java systems.
| Identifer | oai:union.ndltd.org:uvic.ca/oai:dspace.library.uvic.ca:1828/926 |
| Date | 30 April 2008 |
| Creators | McNair, Andrew |
| Contributors | Weber-Jahnke, Jens, German, Daniel |
| Source Sets | University of Victoria |
| Language | English, English |
| Detected Language | English |
| Type | Thesis |
| Rights | Available to the World Wide Web |
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