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The experimental evaluation of the methods and concepts covered in softwareengineering has been increasingly valued. This value indicates the constantsearch for new forms of assessment and validation of the results obtained inSoftware Engineering research. Results are validated in studies throughevaluations, which in turn become increasingly stringent. As an alternative toaid in the verification of the results, that is, whether they are positive ornegative, we suggest the use of statistical methods. This article presents someof the main statistical techniques available, as well as their use in carryingout the implementation of data analysis in experimental studies in SoftwareEngineering. This paper presents a practical approach proving statisticaltechniques through a decision tree, which was created in order to facilitatethe understanding of the appropriate statistical method for each data analysissituation. Actual data from the software projects were employed to demonstratethe 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 aconcrete indication of the applicability of these techniques.

Application of Statistical Methods in Software Engineering: Theory and Practice