Using Mining Sequential Pattern to Version Control System for Software Maintenance

• Main Authors: Ching-Yi Hung, 洪菁憶
• Other Authors: Shi-Jen Lin
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/wt9j8k

碩士 === 國立中央大學 === 資訊管理研究所 === 96 === The amount of open source projects becomes more and more. Version control system plays the important role in the open source projects. In the near year, using data mining to find some valuable information from history data are researchable in software maintainace engineering domain. But the association rule are usually been used in such maintainace reearch. In this paper, we propose a model using sequential pattern mining to try to find some different information from version history data. Such information could help management and suggestion with a open source project. In this papter, we design a model to find some sequential pattern rule. At first, we try to collect data from version system in Web design and then preprocessing history data. Next, we use sequencial pattern algorithm─PrefixSpan, and we define some variable in the PrefixSpan in Chapter 3. In chapter 4 are experiment and some result and analyst. Finally is some researchable aspect and conclution.