Data underlying the Bachelor's thesis: Adapting existing bug taxonomies to Haskell

The goal of the paper is to identify the extent to which existing bug taxonomies can classify bugs in Haskell, and how they could be adapted to better accommodate the unique features of Haskell. The specific research questions that were studied are:RQ1 What are the most common types of Haskell bugs?RQ2 What are the limitations of existing bug taxonomies in capturing the unique features of Haskell bugs?RQ3 How do Haskell developers classify bugs and how is it different from the previously discussed taxonomies?<br>The data collected for the creation of the paper includes:• A bug dataset of 142 bugs from 10 Haskell FOSS (free open-source software) projects, classified according to 2 taxonomies.• A qualitative codebook created after 4 interviews performed with Haskell developers about their perspectives on bugs.

本论文的研究目标是厘清现有缺陷分类体系对Haskell语言缺陷的分类能力，并探究如何对其进行适配以更好地兼容Haskell的独有特性。本次研究探讨的具体研究问题如下：
RQ1 最常见的Haskell缺陷类型有哪些？
RQ2 现有缺陷分类体系在覆盖Haskell缺陷的独有特性方面存在哪些局限？
RQ3 Haskell开发者如何对缺陷进行分类？该分类方式与此前讨论的分类体系有何差异？

为完成本研究收集的数据包括：
• 源自10个Haskell免费开源软件（FOSS, Free Open-Source Software）项目的142条缺陷数据集，该数据集基于2种缺陷分类体系完成标注分类。
• 基于对4位Haskell开发者开展的缺陷认知访谈所构建的质性编码手册。