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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta content="width=device-width, initial-scale=1.0" name="viewport">
<title>Test code refactoring: A SLR</title>
<meta content="" name="description">
<meta content="" name="keywords">
<!-- Favicons -->
<link href="assets/img/favicon_aries_lab.png" rel="icon">
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<!-- =======================================================
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</head>
<body>
<!-- ======= Header ======= -->
<header id="header" class="d-flex align-items-center">
<div class="container d-flex justify-content-between align-items-center">
<div class="logo">
<h1><a href="index.html">Test code refactoring</a></h1>
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</div>
<nav id="navbar" class="navbar">
<ul>
<li><a href="index.html">Home</a></li>
<li><a href="protocol.html">Protocol</a></li>
<li><a href="studies.html">Primary studies</a></li>
<li><a class="active" href="results.html">Results</a></li>
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<main id="main">
<!-- ======= Featured Section ======= -->
<section id="featured" class="featured">
<div class="container">
<div class="section-title">
</br></br>
<h2>Results</h2>
</div>
<section id="team" class="team">
<div class="container">
<section id="contact" class="contact">
<div class="container">
<div class="row">
<div class="col-lg-12">
<div class="info-box mb-4">
<i class="bx bx-question-mark"></i>
<h3>RQ1) What are the existing activities for test code refactoring?</h3>
<div class="container">
<div class="row row-cols-auto">
<div class="col-lg-12">
<iframe width="100%" height="1045" frameborder="0"
src="https://observablehq.com/embed/@arieslab/refactorings-diagram?cells=sankeyDiag"></iframe>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="row">
<div class="col-lg-12">
<div class="info-box mb-4">
<i class="bx bx-question-mark"></i>
<h3>RQ2) What types of test code problems do the refactorings seek to solve?</h3>
<div class="container">
<div class="row row-cols-auto">
<div class="col-lg-12">
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</diagram><diagram 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</diagram><diagram 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</diagram></mxfile>"}"></div>
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</div>
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</div>
</div>
<div class="row">
<div class="col-lg-6">
<div class="info-box mb-4">
<i class="bx bx-question-mark"></i>
<h3>RQ3) What tools are available for test code refactoring?</h3>
<div style="text-align: left;margin:20px;">
<img style="width: 100%;" src = "assets/img/timeline.png" />
</div>
</div>
</div>
<div class="col-lg-6">
<div class="info-box mb-4" >
<i class="bx bx-question-mark"></i>
<h3>RQ4) What empirical methods were employed in primary studies?</h3>
<p>Classification of the studies by evaluation type</p>
<div style="margin:20px;">
<table class="table" style="font-size: 10pt;">
<thead>
<tr>
<th scope="col">Assessment method</th>
<th scope="col">#Studies</th>
<th scope="col">Studies ID</th>
</tr>
</thead>
<tbody>
<tr>
<th scope="row">Action Research</th>
<td>1</td>
<td>P15</td>
</tr>
<tr>
<th scope="row">Proof of concept</th>
<td>3</td>
<td>P17, P29, P41</td>
</tr>
<tr>
<th scope="row">Survey/Interview</th>
<td>10</td>
<td>P07, P11, P15, P18, P23, P24, P28, P30, P31, P40</td>
</tr>
<tr>
<th scope="row">Case study</th>
<td>21</td>
<td>P02, P04-P08, P12-P16, P18-P20, P23, P30, P35-P38, P40</td>
</tr>
<tr>
<th scope="row">Experiment/Benchmark</th>
<td>27</td>
<td>P01, P03, P04, P09-P11, P13-P16, P18-P20, P22-P24, P28, P30-P32, P34-P40</td>
</tr>
<tr>
<th scope="row">None</th>
<td>6</td>
<td>P21, P25, P26, P27, P33, P42</td>
</tr>
</tbody>
</table>
</div>
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