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最大树法的Aspect挖掘方法 被引量：1

Maximum tree method based aspect mining method
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摘要 提出一种基于最大树的Aspect挖掘方法,该方法使用Aspect的思想,从动态行为挖掘横切关注点获取运行时方法调用的信息,从而构造方法调用关系数据矩阵,在模糊相似关系的理论基础上,引入相似度构造出对象相似矩阵,并利用最大树方法识别系统中的横切关注点,从而为系统的软件重构和复用提供依据。最后通过实验验证了其有效性,进一步通过与目前具有代表性的挖掘方法进行比较,认为本方法具有实现清晰、效率较高的优点。 By means of discovering crosscutting concerns from legacy systems, aspect mining intends to help migrate the systems to an aspect-oriented design. An improved method based on maximum tree method for aspect mining is presented. The method uses aspect ideas to capture the runtime method-call information by mining crosscutting concerns from dynamic behaviors, and then constructs a method-call relationship data matrix. Based on fuzzy similarity relation theory, by introducing the similarity, an object similarity matrix is constructed, and the maximum tree method is used to identify the crosscutting concerns in the system. The method can provide a basis for system＇s software reconstruction and reusability. An experiment is conducted to verify the validity of the method. Compared with the existing typical mining methods, the method shows the virtue of clear implementation and high efficiency.
作者 曾一 洪媛 刘引 王健
机构地区 重庆大学计算机学院 重庆农村商业银行
出处 《重庆大学学报（自然科学版）》 EI CAS CSCD 北大核心 2009年第10期1221-1225,共5页 Journal of Chongqing University
基金 国家自然科学基金面上项目资助(50875268)
关键词 面向对象编程 遗留系统 模式识别 方面挖掘 最大树 object oriented programming legacy systems pattern recognition aspect mining maximum tree
分类号 TP311 [自动化与计算机技术—计算机软件与理论]
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参考文献15

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共引文献17

同被引文献9

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  • 6Zhang Danfeng, Guo Yao, Chen Xiangqun. Automa- ted aspect recommendation through clustering-based fan-in analysis[C]//Proc of 23rd IEEE/ACM Inter- national Conference on Automated Software Engi- neering (ASE 2008). L' Aquila:Inst of Elec and Elec Eng Computer Society, 2008: 278-287.
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  • 8梅宏,王千祥,张路,王戟.软件分析技术进展[J].计算机学报,2009,32(9):1697-1710. 被引量：103
  • 9倪友聪,应时,张琳琳,文静,叶鹏,赵楷.一种面向方面软件体系结构中的编织机制研究[J].计算机研究与发展,2010,47(4):695-706. 被引量：7

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重庆大学学报（自然科学版）
2009年 第10期

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