| Summary: | 碩士 === 國立中央大學 === 資訊管理研究所 === 97 === The evolution of the modern software is continual. Although detailed
information of the evolution of the software version is stored in the version control
system (VCS), the understanding of more and more complex software structure is still
finite. On the other hand, lines of code in the software project are usually hundreds of
thousands, which makes the software maintenance a difficult problem. The researches
of applying data mining techniques to VCS are usually based on association rules,
which usually pass over the ordering information. As a result, by taking the time
dimension of the software data from the Concurrent Version System (CVS) into
consideration, this study uses the sequential-pattern mining technique to analyze and
find out the potential sequence pattern. We expect the “entities” to be changed more
precisely than those in previous researches and re-evaluate the sequence pattern for
the users by means of a classification rule in order to provide the reference of the
software maintenance in the future.
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