Smell Detection of Technology-agnostic Infrastructure Code Using Unsupervised Learning

This dataset contains the collected data and software artifacts created for Clustering-based Smell Detection of Infrastructure-as-Code based on TOSCA.<br> The ZIP folder contains smell detectors based on clustering to detect the smells <em>Duplicate Block</em>, <em>Too many Attributes</em>, and <em>Insufficient Modularization</em>. All data and information required to reproduce the study is included in that folder. Furthermore, a short description is provided for reproduction, but also an explanation on how to use the smell detector on developer's own TOSCA blueprints. Source: <strong>https://github.com/VaCH2/tosca-analysis </strong>本数据集包含为开展基于云应用拓扑编排规范 (TOSCA) 的基础设施即代码聚类式代码异味检测研究而采集的数据与软件工件。<br>该ZIP压缩包内置基于聚类的异味检测器，可用于检测<em>重复代码块 (Duplicate Block)</em>、<em>属性过多 (Too many Attributes)</em>以及<em>模块化不足 (Insufficient Modularization)</em>三类代码异味。该压缩包涵盖了复现该研究所需的全部数据与相关信息。此外，其中不仅提供了研究复现所需的简要说明，还包含了如何在开发者自行编写的TOSCA蓝图中使用该异味检测器的操作指南。来源：<strong>https://github.com/VaCH2/tosca-analysis</strong>