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Software maintenance is a very costly and time-consuming work during the software life cycle. The problems with software maintenance are even more pressing in the software system. Software developers are often faced with modification tasks that involve sources and spread across code bases. Some dependencies between sources, such as the dependencies between platforms dependent fragments, cannot be determined by the existing static and dynamic analytic methods. This paper has developed an approach that applies data mining techniques to determine the change patterns from the revision history data. These results can help the software developers to identify which source code had been modified.
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