Abstract In empirical studies on processes, practices, and techniques of software engineering, automation and machine learning are gaining popularity. In order to extract knowledge from existing software projects, a sort of similarity analysis is often performed using different methodologies, data and metadata. This systematic literature review focuses therefore on existing approaches of similarity-, categorization- and relevance-based analysis on software applications. In total, 136 relevant publications and patents were identified between 2002 and 2019 according to the established inclusion and exclusion criteria, which perform a calculation of software similarity in general or to support certain software engineering phases.

中文翻译：

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基于相似性的软件应用分析：系统文献综述

摘要 在软件工程的过程、实践和技术的实证研究中，自动化和机器学习越来越受欢迎。为了从现有软件项目中提取知识，通常使用不同的方法、数据和元数据进行一种相似性分析。因此，本系统的文献综述侧重于对软件应用程序进行基于相似性、分类和相关性分析的现有方法。根据既定的纳入和排除标准，在 2002 年至 2019 年期间总共确定了 136 项相关出版物和专利，这些标准执行一般软件相似性计算或支持某些软件工程阶段。