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Software Reuse Detection Using an Integrated Space-Logic Domain Model

机译:使用集成空间逻辑域模型的软件重用检测

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摘要

Software reuse detection is a challenging task due to various modifications and the large size of software code. Most existing approaches adopt a token-based software representation and use sequential analysis for software reuse detection. Due to the intrinsic limitations of such a space-domain analysis, these methods have difficulties to handle statement reordering, insertion and control replacement. Recently, logic-domain models such as program dependent graph have been exploited to solve these issues. Although they can improve the performance in terms of accuracy, they introduce additional problems. Their computational complexity is very high and dramatically increases with the software size, limiting their applications in practice. In this paper, we propose a novel software reuse detection framework using an integrated space-logic domain model. It embeds a logic-domain software model into a space-domain analysis and thoroughly exploits the software''s information from both space domain and logic domain. The preliminary experimental results have demonstrated the superior performance of the proposed approach compared with other methods.
机译:由于各种修改和庞大的软件代码,软件重用检测是一项具有挑战性的任务。大多数现有方法采用基于令牌的软件表示,并使用顺序分析进行软件重用检测。由于此类空间域分析的固有局限性,因此这些方法难以处理语句重排序,插入和控件替换。最近,诸如程序依赖图之类的逻辑域模型已被用来解决这些问题。尽管它们可以提高准确性,但是会带来其他问题。它们的计算复杂度很高,并且随着软件规模的增加而大大增加,从而限制了它们在实践中的应用。在本文中,我们提出了一种使用集成空间逻辑域模型的新颖软件重用检测框架。它将逻辑域软件模型嵌入到空间域分析中,并充分利用了来自空间域和逻辑域的软件信息。初步的实验结果表明,与其他方法相比,该方法具有更好的性能。

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