克隆代码分析方法研究

发布时间：2018-11-10 10:39

【摘要】：针对已有克隆代码检测工具只输出克隆组形式的检测结果,而难以分析克隆代码对软件质量的影响问题,提出了危害软件质量的关键克隆代码的识别方法。定义了克隆代码的统一表示形式,使之可以分析各种克隆检测工具的检测结果,然后解析源程序和克隆检测结果,识别标志符命名不一致性潜在缺陷,定义了克隆关联图,在此基础上检测跨越多个实现不同功能的文件、危害软件可维护性的克隆代码,最后对检测结果进行可视化统计分析。克隆代码分析工具被应用于分析开源代码httpd,检测出了1组标志符命名不一致的克隆代码和44组危害软件可维护性的关键克隆类。实验结果表明,该方法可以有效辅助软件开发和维护人员分析、维护克隆代码。
[Abstract]:In view of the fact that the existing clone code detection tools only output the detection results in the form of clone group, but it is difficult to analyze the influence of cloned code on software quality, this paper proposes a method to identify the key clone code that endangers the software quality. In this paper, the unified representation of cloning code is defined so that it can analyze the detection results of various cloning detection tools, then analyze the source program and clone detection results, identify the potential defects of flag naming inconsistency, and define the clone association graph. On this basis, it detects the cloned code that spans many different functions and endangers the maintainability of the software. Finally, the visual statistical analysis of the detection results is carried out. Cloning code analysis tools are used to analyze open source code httpd, to detect a set of cloning codes with inconsistent identifiers and 44 sets of critical clone classes that compromise the maintainability of software. The experimental results show that this method can effectively assist software development and maintenance personnel to analyze and maintain cloned code.
【作者单位】：哈尔滨学院软件学院;哈尔滨工业大学计算机科学与技术学院;哈尔滨工业大学软件学院;
【基金】：哈尔滨科技创新人才研究专项资金资助项目(2016RAQXJ013,2014RFQXJ062) 国家自然科学基金资助项目(61202092,61173021) 高等学校博士学科点专项科研基金资助项目(20112302120052) 黑龙江省普通高校青年学术骨干资助项目(1254G037) 黑龙江省自然科学基金资助项目(F201127)
【分类号】：TP311.53

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