Code repositories contain valuable information, which can be extracted, processed and synthesized into valuable information. It enabled developers to improve maintenance, increase code quality and understand software evolution, among other insights. Certain research has been made during the last years in this field. This paper presents a systematic mapping study to find, evaluate and investigate the mechanisms, methods and techniques used for the analysis of information from code repositories that allow the understanding of the evolution of software. Through this mapping study, we have identified the main information used as input for the analysis of code repositories (commit data and source code), as well as the most common methods and techniques of analysis (empirical/experimental and automatic). We believe the conducted research is useful for developers working on software development projects and seeking to improve maintenance and understand the evolution of software through the use and analysis of code repositories. PDF  XML

中文翻译：

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代码库分析的系统映射研究

代码库包含有价值的信息，这些信息可以被提取、处理和合成为有价值的信息。它使开发人员能够改进维护、提高代码质量和了解软件演变，以及其他见解。过去几年在该领域进行了某些研究。本文提出了一项系统的映射研究，以查找、评估和研究用于分析代码存储库中的信息的机制、方法和技术，从而了解软件的演变。通过此映射研究，我们确定了用作代码存储库分析输入的主要信息（提交数据和源代码），以及最常用的分析方法和技术（经验/实验和自动）。我们相信所进行的研究对于从事软件开发项目并寻求通过使用和分析代码存储库来改进维护和了解软件演变的开发人员很有用。PDF XML