The experimental evaluation of the methods and concepts covered in software engineering has been increasingly valued. This value indicates the constant search for new forms of assessment and validation of the results obtained in Software Engineering research. Results are validated in studies through evaluations, which in turn become increasingly stringent. As an alternative to aid in the verification of the results, that is, whether they are positive or negative, we suggest the use of statistical methods. This article presents some of the main statistical techniques available, as well as their use in carrying out the implementation of data analysis in experimental studies in Software Engineering. This paper presents a practical approach proving statistical techniques through a decision tree, which was created in order to facilitate the understanding of the appropriate statistical method for each data analysis situation. Actual data from the software projects were employed to demonstrate the use of these statistical methods. Although it is not the aim of this work, basic experimentation and statistics concepts will be presented, as well as a concrete indication of the applicability of these techniques.

中文翻译：

---

统计方法在软件工程中的应用：理论与实践

对软件工程所涵盖的方法和概念的实验评估越来越受到重视。该值表明不断寻找新形式的评估和验证软件工程研究中获得的结果。结果通过评估在研究中得到验证，而评估又变得越来越严格。作为帮助验证结果的替代方法，即无论它们是正面的还是负面的，我们建议使用统计方法。本文介绍了一些可用的主要统计技术，以及它们在软件工程实验研究中执行数据分析的用途。本文提出了一种通过决策树证明统计技术的实用方法，创建它是为了便于理解每种数据分析情况的适当统计方法。来自软件项目的实际数据被用来证明这些统计方法的使用。虽然这不是这项工作的目的，但将介绍基本的实验和统计概念，以及这些技术适用性的具体说明。