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@@ -141,24 +141,51 @@ <h3>
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<ul class="authors"><li>Andre Brechmann</li>
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<li><a href="https://www.tu-chemnitz.de/informatik/ST/professur/professor.php.en">Janet Siegmund</a></li> </ul>
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<li><a href="https://www.tu-chemnitz.de/informatik/ST/people/professor.php.en">Janet Siegmund</a></li> </ul>
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<ul class="resources"> <a href="https://gepris.dfg.de/gepris/projekt/285612080">Projects Website: https://gepris.dfg.de/gepris/projekt/285612080</a></ul>
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<h2>Papers</h2>
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<article>
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<h3>Correlates of Programmer Efficacy and their Link to Experience: A Combined EEG and Eye-Tracking Study (FSE 22)</h3>
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</header>
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<ul class="authors">
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<li><a href="http://www.peitek.com">Norman Peitek</a></li>
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<li>Annabelle Bergum</li>
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<li>Maurice Rekrut</li>
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<li>Jonas Mucke</li>
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<li>Matthias Nadig</li>
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<li><a href="http://www.chrisparnin.me">Chris Parnin</a></li>
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<li><a href="https://www.tu-chemnitz.de/informatik/ST/people/professor.php.en">Janet Siegmund</a></li>
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<li><a href="https://www.se.cs.uni-saarland.de/apel/">Sven Apel</a></li>
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</ul>
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<summary>
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<b>Background:</b> Despite a similar education and background, programmers can exhibit vast differences in efficacy. While research has identified some potential factors, such as programming experience and domain knowledge, the effect of these factors on programmers' efficacy is not well understood.<br>
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<b>Aims:</b> We aim at unravelling the relationship between efficacy (speed and correctness) and measures of programming experience. We further investigate the correlates of programmer efficacy in terms of reading behavior and cognitive load.<br>
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<b>Method:</b> For this purpose, we conducted a controlled experiment with 37~participants using electroencephalography (EEG) and eye tracking. We asked participants to comprehend up to 32~Java source-code snippets and observed their eye gaze and neural correlates of cognitive load. We analyzed the correlation of participants' efficacy with popular programming experience measures.<br>
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<b>Results:</b> We found that programmers with high efficacy read source code more targeted and with lower cognitive load. Commonly used experience levels do not predict programmer efficacy well, but self-estimation and indicators of learning eagerness are fairly accurate.<br>
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<b>Implications:</b> The identified correlates of programmers with high efficacy can be used for future research and practice, such as hiring. Future research should also consider efficacy as a group sampling method, rather than simple experience measures.<br>
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</summary>
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<h4>Resources</h4>
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<ul class="resources">
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<li><a href="https://github.com/brains-on-code/fMRI-complexity-metrics-icse2021">Replication Package</a></li>
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</ul>
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</article>
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<h3>Program Comprehension and Code Complexity Metrics: An fMRI Study (ICSE 21)</h3>
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<ul class="authors">
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<li>Norman Peitek</li>
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<li><a href="http://www.infosun.fim.uni-passau.de/se/apel/">Sven Apel</a></li>
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<li><a href="http://www.peitek.com">Norman Peitek</a></li>
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<li><a href="https://www.se.cs.uni-saarland.de/apel/">Sven Apel</a></li>
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<li><a href="http://www.chrisparnin.me">Chris Parnin</a></li>
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<li>Andre Brechmann</li>
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<li><a href="https://www.tu-chemnitz.de/informatik/ST/professur/professor.php.en">Janet Siegmund</a></li>
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<li><a href="https://www.tu-chemnitz.de/informatik/ST/people/professor.php.en">Janet Siegmund</a></li>
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</ul>
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<summary>
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<b>Background:</b> Researchers and practitioners have been using code complexity metrics for decades to predict how developers comprehend a program. While it is plausible and tempting to use them for this purpose, their validity is questionable, since they rely on code properties and rarely consider particularities of human cognition.<br>
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<ul class="authors">
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<li><a href="https://github.com/Sonaion">Jonas Mucke</a></li>
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<li>Marc Schwarzkopf</a></li>
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<li><a href="https://www.tu-chemnitz.de/informatik/ST/professur/professor.php.en">Janet Siegmund</a></li>
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<li><a href="https://www.tu-chemnitz.de/informatik/ST/people/professor.php.en">Janet Siegmund</a></li>
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Eye tracking allows us to shed light on how developers read and
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<h3>Mastering Variation in Human Studies: The Role of Aggregation (TOSEM)</h3>
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<ul class="authors">
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<li><a href="https://www.tu-chemnitz.de/informatik/ST/professur/professor.php.en">Janet Siegmund</a></li>
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<li>Norman Peitek</li>
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<li><a href="http://www.infosun.fim.uni-passau.de/se/apel/">Sven Apel</a></li>
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<li><a href="https://www.tu-chemnitz.de/informatik/ST/people/professor.php.en">Janet Siegmund</a></li>
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<li><a href="http://www.peitek.com">Norman Peitek</a></li>
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<li><a href="https://www.se.cs.uni-saarland.de/apel/">Sven Apel</a></li>
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<li><a href="https://sws.informatik.uni-leipzig.de">Norbert Siegmund</a></li>
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<h3>What Drives the Reading Order of Programmers? An Eye Tracking Study (ICPC 20)</h3>
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<ul class="authors">
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<li>Norman Peitek</li>
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<li><a href="https://www.tu-chemnitz.de/informatik/ST/professur/professor.php.en">Janet Siegmund</a></li>
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<li><a href="http://www.infosun.fim.uni-passau.de/se/apel/">Sven Apel</a></li>
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<li><a href="http://www.peitek.com">Norman Peitek</a></li>
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<li><a href="https://www.tu-chemnitz.de/informatik/ST/people/professor.php.en">Janet Siegmund</a></li>
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<li><a href="https://www.se.cs.uni-saarland.de/apel/">Sven Apel</a></li>
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<b>Background:</b> The way how programmers comprehend source code depends on several factors, including the source code itself and the programmer. Recent studies showed that novice programmers tend to read source code more like natural language text, whereas experts tend to follow the program execution flow. But, it is unknown how the <i>linearity of source code</i> and the comprehension strategy influence programmers' <i>linearity of reading order</i>.<br>
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<ul class="authors">
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<li>Jennifer Bauer</li>
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<li><a href="https://www.tu-chemnitz.de/informatik/ST/professur/professor.php.en">Janet Siegmund</a></li>
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<li>Norman Peitek</li>
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<li><a href="https://www.tu-chemnitz.de/informatik/ST/people/professor.php.en">Janet Siegmund</a></li>
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<li><a href="http://www.peitek.com">Norman Peitek</a></li>
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<li><a href="http://www.cessor.de">Johannes C. Hofmeister</a></li>
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<li><a href="https://www.se.cs.uni-saarland.de/apel/">Sven Apel</a></li>
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<h3>A Look into Programmers’ Heads (TSE)</h3>
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<ul class="authors">
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<li>Norman Peitek</li>
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<li><a href="http://www.peitek.com">Norman Peitek</a></li>
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<li><a href="https://www.tu-chemnitz.de/informatik/ST/professur/professor.php.en">Janet Siegmund</a></li>
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<li><a href="https://www.se.cs.uni-saarland.de/apel/">Sven Apel</a></li>
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<li><a href="http://www.cs.cmu.edu/~ckaestne/">Christian Kaestner</a></li>
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<h3>Simultaneous Measurement of Program Comprehension with fMRI and Eye Tracking: A Case Study (ESEM 18)</h3>
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<ul class="authors">
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<li>Norman Peitek</li>
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<li><a href="http://www.peitek.com">Norman Peitek</a></li>
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<li><a href="https://www.tu-chemnitz.de/informatik/ST/professur/professor.php.en">Janet Siegmund</a></li>
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<li><a href="http://www.chrisparnin.me">Chris Parnin</a></li>
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<li><a href="https://www.se.cs.uni-saarland.de/apel/">Sven Apel</a></li>
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<li><a href="https://www.tu-chemnitz.de/informatik/ST/professur/professor.php.en">Janet Siegmund</a></li>
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<li>Norman Peitek</li>
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<li><a href="http://www.peitek.com">Norman Peitek</a></li>
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<li><a href="http://www.chrisparnin.me">Chris Parnin</a></li>
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<li><a href="https://www.se.cs.uni-saarland.de/apel/">Sven Apel</a></li>
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<li><a href="http://www.cessor.de">Johannes Hofmeister</a></li>

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