Replication package for "Method Chaining Redux: An Empirical Study of Method Chaining in Java, Kotlin, and Python"

This dataset includes scripts and data files used to generate all analysis and results from the paper. A <strong>README.md</strong> file is included for details on using the scripts. The dataset is quite large. It is broken down into three archives. All scripts are in <strong>replication-pkg.zip</strong> and the other 2 files only contain data. So if you want to just inspect the analysis, you only need that single zip. If you grab the <strong>data-cached.zip</strong> file and extract it, it will need around 3GB of space. This is the processed dataset stored in Parquet files. Use this if you want to just recreate the tables/figures from the paper. If you want to make changes to the analyses, you will need the raw data in <strong>data-raw.zip</strong>. This will need around 29GB of space once extracted. If you then generate the CSV files from those TXT files (which you will need to do for any custom analysis), you will need an additional 22GB of space.

本数据集涵盖用于复现该论文全部分析流程与研究结果的脚本及数据文件，随包附带<STRONG>README.md</STRONG>文件，详细说明了脚本的使用方法。本数据集体量较大，被拆分为三个归档压缩包：所有脚本均存储于<STRONG>replication-pkg.zip</STRONG>中，其余两个文件仅包含数据内容，若仅需查看分析过程，仅需下载该单个压缩包即可。若下载<STRONG>data-cached.zip</STRONG>并解压，将占用约3GB存储空间，该归档包含以Parquet格式（Parquet）存储的预处理数据集，若仅需复现论文中的表格与图表，可直接使用该压缩包。若需对分析流程进行自定义修改，则需要原始数据归档<STRONG>data-raw.zip</STRONG>，该归档解压后约占用29GB存储空间；若需从其中的TXT文件生成CSV文件（这是开展自定义分析的必要步骤），还需额外预留22GB的存储空间。