Aging-related bugs and software complexity metrics

This dataset contains information on aging-related bugs found in two open-source projects (the Linux kernel and the MySQL DBMS). This dataset has been used to investigate defect prediction approaches for aging-related bugs, by using software complexity metrics and machine learning techniques. New software complexity metrics were proposed in this study to support defect prediction ("aging-related" metrics).

The dataset contains an ARFF file for each subsystem of the open-source projects. Each row of the ARFF file contains:

- The name of a file in the project;

- "Program size" metrics for the file (columns from 2 to 50);

- "McCabe's cyclomatic complexity" metrics for the file (columns from 51 to 68);

- "Halstead" metrics for the file (columns from 69 to 77);

- "Aging-related" metrics for the file (columns from 78 to 83);

- The number of aging-related bugs found in the file.

本数据集收录了两个开源项目（Linux内核与MySQL数据库管理系统（DBMS））中发现的与软件老化相关的缺陷（aging-related bugs）信息。本数据集曾被用于借助软件复杂度指标与机器学习技术，探究老化相关缺陷的预测方法；本研究同时提出了新型软件复杂度指标——“老化相关”指标，以支撑缺陷预测任务。

本数据集为每个开源项目的子系统提供了一个ARFF文件。该ARFF文件的每一行数据包含以下内容：
- 项目内单个文件的名称；
- 该文件的“程序规模”类指标（第2列至第50列）；
- 该文件的McCabe环路复杂度（McCabe's cyclomatic complexity）指标（第51列至第68列）；
- 该文件的Halstead指标（Halstead）（第69列至第77列）；
- 该文件的“老化相关”指标（第78列至第83列）；
- 该文件中发现的老化相关缺陷数量。