Developers Talking About Code Quality: study design and dataset
<p><strong>Electronic supplement for the article <em>Developers Talking About Code Quality</em></strong></p> <p>Please refer to the following paper when you cite/use this data:</p> <p>J. Börstler, K.E. Bennin, S. Hooshangi, J. Jeuring, H. Keuning, C. Kleiner, B. MacKellar, R. Duran, H. Störrle, D. Toll, J van Assema. Developers Talking About Code Quality. <em>Empirical Software Engineering</em>, 2023.<br> https://link.springer.com/article/10.1007/s10664-023-10381-0</p> <p><strong>Overview of the electronic supplement</strong> (sorted according to file names)</p> <ol> <li>The data <ol> <li>data_all-except-Q4.xlsx<br> The original cleaned data for Questions Q1-Q3 and Q5-Q11.</li> <li>data_Q4 assertions.xlsx<br> The "assertions" which are based on the transcripts of Q4.</li> </ol> </li> <li>The information provided to study participants <ol> <li>participants_consent-form_EN.pdf<br> The consent form the participants signed (English version, interviewees received a copy on request).</li> <li>participants_interview-info.pdf<br> The information sheet that was handed out for recruiting interview participants (they could keep this form).</li> </ol> </li> <li>The study design and guidelines <ol> <li>study-design_coding-guide_birds-eye-summaries.pdf<br> The guidelines for coding the transcripts of Q4 into "assertions" (which we call "birds-eye summaries" in these guidelines).</li> <li>study-design_main.pdf<br> The main study guide comprising (among others) a <strong>detailed interview script</strong>.</li> <li>study-design_transcription.pdf<br> The guidelines used for transcribing Q4.</li> </ol> </li> </ol>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0
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