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master-degree-scripts's Introduction

master-degree-scripts

Scripts implemented for my master's degree thesis work

I worked with MediaWiki's source code, which is written in PHP, so using PHP for these scripts was a natural choice in order to take advantage of Reflection (and a lot of regex).

Our work can be summarized as follows:

  • Inspect 2871 Git commits (~114 KLOC involved) :(
  • Organize commits into a relational database
  • Build tools to calculate metrics from database and source code :(
  • Logistic Regression: predict defective classes from the class' metrics

In brief, the findings were:

  • Quantity and size of changes made to a class' code predicts its future defects
  • Change metrics are better predictors than static ones

Complete work

This is a companion for the main document available at http://sedici.unlp.edu.ar/handle/10915/93237

"Predicción de defectos en un lenguaje dinámicamente tipado usando métricas estáticas y de cambio"
(Defect prediction in a dynamic-type language using static and change metrics)
Universidad Nacional de La Plata, 2020

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