This dataset contains information about code smell, which is a very important issue in software engineering.
It is built by collecting the method having code smell from GitHub using the SonarCloud tool.
There are 5 code smells and 1 normal class with 500 examples each.
the metadata: method (function),smellkey, smellid
Smell Type
ID
Description
Reference
java:S100
0
We employed a case study research approach to gather the factors for troubled software projects from the existing literature to generate an innovative dataset. A comprehensive dataset that serves as a foundational reference for future investigations. We extracted incidents from case study data, generated open codes, and organized these open codes into 18 problem categories and 27 solution categories. The mapping between open codes, axial codes and phases is documented in dataset. The codes encapsulate the behavioral patterns or actions of a team that initiate or cause is
The dataset contains information on 15 public failed software projects. It represents the primary behavior of a team against the failure process.