This image showsDaniel Graziotin

Dr.

Daniel Graziotin

Head of the Division for Human Aspects of Software Engineering (HASE), Akademischer Rat
ISTE - Institute of Software Engineering
ESE - Empirical Software Engineering

Contact

+49 711 685-88338
+49 711 685-88380

Website

Universitätsstraße 38
70569 Stuttgart
Deutschland
Room: 1.232

Office Hours

Update March 2021: I have some free slots for theses and projects that start in SoSe 2021 (and end in WiSe 2021-22). See my FAQ before approaching me.

I am offering consultations either per e-mail or as video-conference meetings with Webex.
For the latter, please e-mail me anyway to arrange an appointment.

Subject

  • Behavioral software engineering
  • Empirical software engineering
  • Human aspects of software engineering
  • Journalology
The following publications pertain to ISTE-SE only. All my publications are available here: ineed.coffee/publications:
  1. Graziotin, D., Lenberg, P., Feldt, R., & Wagner, S. (2021). Behavioral Software Engineering: Methodological Introduction to Psychometrics. ArXiv Preprint ArXiv:2005.09959. https://arxiv.org/abs/2005.09959
  2. Lenberg, P., Feldt, R., Gren, L., Tengberg, L. G. W., Tidefors, I., & Graziotin, D. (2021). Qualitative software engineering research--reflections and guidelines. ArXiv Preprint ArXiv:1712.08341. https://arxiv.org/abs/1712.08341
  3. Wyrich, M., Preikschat, A., Graziotin, D., & Wagner, S. (2021). The Mind Is a Powerful Place: How Showing Code Comprehensibility Metrics Influences Code Understanding. In A. van Deursen & T. Xie (Eds.), 43rd International Conference of Software Engineering (ICSE 2021). https://arxiv.org/abs/2012.09590
  4. Tennant, J., Agarwal, R., Baždarić, K., Brassard, D., Crick, T., Dunleavy, D. J., Evans, T. R., Gardner, N., Gonzalez-Marquez, M., Graziotin, D., & others. (2021). A tale of two ‘opens’: intersections between Free and Open Source Software and Open Scholarship (TBA, Ed.). SocArXiv. https://doi.org/10.31235/osf.io/2kxq8
  5. Mendez, D., Graziotin, D., Wagner, S., & Seibold, H. (2020). Open Science in Software Engineering. In F. M. & T. G. (Eds.), Contemporary Empirical Methods in Software Engineering (pp. 477–501). Springer International Publishing. https://doi.org/10.1007/978-3-030-32489-6_17
  6. Ostberg, J.-P., Graziotin, D., Wagner, S., & Derntl, B. (2020). A methodology for psycho-biological assessment of stress in software engineering. PeerJ Computer Science, 6, e286. https://doi.org/10.7717/peerj-cs.286
  7. Ralph, P., Baltes, S., Bianculli, D., Dittrich, Y., Felderer, M., Feldt, R., Filieri, A., Furia, C. A., Graziotin, D., He, P., & others. (2020). ACM SIGSOFT empirical standards. ArXiv Preprint ArXiv:2010.03525. https://arxiv.org/abs/2010.03525
  8. Ortu, M., Destefanis, G., Graziotin, D., Marchesi, M., & Tonelli, R. (2020). How do you Propose Your Code Changes? Empirical Analysis of Affect Metrics of Pull Requests on GitHub. IEEE Access, 8, 110897–110907. https://doi.org/10.1109/access.2020.3002663
  9. Prechelt, L., Graziotin, D., & Mendez, D. (2020). Double-blind is good but open would be better: Perceptions of peer review in the SE community. ACM SIGSOFT Software Engineering Notes, 45(3), 16–16. https://doi.org/10.1145/3402127.3402133
  10. Wagner, S., Mendez, D., Felderer, M., Graziotin, D., & Kalinowski, M. (2020). Challenges in Survey Research. In F. M. & T. G. (Eds.), Contemporary Empirical Methods in Software Engineering (pp. 93–125). Springer International Publishing. https://doi.org/10.1007/978-3-030-32489-6_4
  11. Spiegler, S. V., Graziotin, D., Heinecke, C., & Wagner, S. (2020). A Quantitative Exploration of the 9-Factor Theory: Distribution of Leadership Roles Between Scrum Master and Agile Team. Proceedings of the 2020 International Conference on Agile Software Development (XP 2020), Lecture Notes in Business Information Processing: Agile Processes in Software Engineering and Extreme Programming, 162–177. https://doi.org/10.1007/978-3-030-49392-9_11
  12. Tennant, J. P., Penders, B., Ross-Hellauer, T., others, Graziotin, D., & others. (2019). Boon, bias or bane? The potential influence of reviewer recommendations on editorial decision-making. European Science Editing, 45(1), 2–5. https://doi.org/10.20316/ese.2019.45.18013
  13. Wang, Y., Graziotin, D., Kriso, S., & Wagner, S. (2019). Communication channels in safety analysis: An industrial exploratory case study. Journal of Systems and Software, 153, 135–151. https://doi.org/10.1016/j.jss.2019.04.004
  14. Wyrich, M., Graziotin, D., & Wagner, S. (2019). A theory on individual characteristics of successful coding challenge solvers. PeerJ Computer Science, 5, e173. https://doi.org/10.7717/peerj-cs.173
  15. Koetter, F., Blohm, M., Kochanowski, M., Goetzer, J., Graziotin, D., & Wagner, S. (2019). Motivations, Classification and Model Trial of Conversational Agents for Insurance Companies. Proceedings of the 11th International Conference on Agents and Artificial Intelligence. https://doi.org/10.5220/0007252100190030
  16. Koetter, F., Blohm, M., Drawehn, J., Kochanowski, M., Goetzer, J., Graziotin, D., & Wagner, S. (2019). Conversational Agents for Insurance Companies: From Theory to Practice International Conference on Agents and Artificial Intelligence. International Conference on Agents and Artificial Intelligence (ICAART 2019), 338–362. https://doi.org/10.1007/978-3-030-37494-5_17
  17. Tennant, J., Beamer, J., Bosman, J., others, Graziotin, D., & others. (2019). Foundations for open scholarship strategy development. https://doi.org/10.31222/osf.io/b4v8p
  18. Graziotin, D., & Fagerholm, F. (2019). Happiness and the Productivity of Software Engineers. In Z. T. Sadowski C (Ed.), Rethinking Productivity in Software Engineering (pp. 109–124). Apress. https://doi.org/10.1007/978-1-4842-4221-6_10
  19. Mäntylä, M. V., Graziotin, D., & Kuutila, M. (2018). The evolution of sentiment analysis—A review of research topics, venues, and top cited papers. Computer Science Review, 27, 16–32. https://doi.org/10.1016/j.cosrev.2017.10.002
  20. Käfer, V., Graziotin, D., Bogicevic, I., Wagner, S., & Ramadani, J. (2018). Communication in open-source projects-end of the e-mail era? Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 242–243. https://doi.org/10.1145/3183440.3194951
  21. Pano, A., Graziotin, D., & Abrahamsson, P. (2018). Factors and actors leading to the adoption of a JavaScript framework. Empirical Software Engineering, 23(6), 3503–3534. https://doi.org/10.1007/s10664-018-9613-x
  22. Graziotin, D., Fagerholm, F., Wang, X., & Abrahamsson, P. (2018). What happens when software developers are (un)happy. Journal of Systems and Software, 140, 32–47. https://doi.org/10.1016/j.jss.2018.02.041
  23. Prechelt, L., Graziotin, D., & Fernández, D. M. (2018). A community’s perspective on the status and future of peer review in software engineering. Information and Software Technology, 95, 75–85. https://doi.org/10.1016/j.infsof.2017.10.019
  24. Graziotin, D., Fagerholm, F., Wang, X., & Abrahamsson, P. (2017). Unhappy Developers: Bad for Themselves, Bad for Process, and Bad for Software Product. 2017 IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C), 362–364. https://doi.org/10.1109/icse-c.2017.104
  25. Graziotin, D., Fagerholm, F., Wang, X., & Abrahamsson, P. (2017). On the Unhappiness of Software Developers. Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering, 324–333. https://doi.org/10.1145/3084226.3084242
  26. Moretti, M., Gobbato, F., Trevisiol, S., Seta, G., Graziotin, D., Corrent, C., De Luca, M., & Orlandi, S. (2017). People’s Republic of Bolzano. Sciences Du Design, n° 5(1), 18. https://doi.org/10.3917/sdd.005.0018
  27. Graziotin, D., Fagerholm, F., Wang, X., & Abrahamsson, P. (2017). Consequences of Unhappiness while Developing Software. 2017 IEEE/ACM 2nd International Workshop on Emotion Awareness in Software Engineering (SEmotion), 42–47. https://doi.org/10.1109/semotion.2017.5
  28. Tennant, J., Dugan, J., Graziotin, D., Jacques, D., Waldner, F., Mietchen, D., Elkhatib, Y., B Collister, L., Pikas, C., Crick, T., Masuzzo, P., Caravaggi, A., Berg, D., Niemeyer, K., Ross-Hellauer, T., Mannheimer, S., Rigling, L., Katz, D., Greshake Tzovaras, B., … Colomb, J. (2017). A multi-disciplinary perspective on emergent and future innovations in peer review. F1000Res, 6, 1151. https://doi.org/10.12688/f1000research.12037.3
  29. Ostberg, J.-P., Graziotin, D., Wagner, S., & Derntl, B. (2017). Towards the Assessment of Stress and Emotional Responses of a Salutogenesis-Enhanced Software Tool Using Psychophysiological Measurements. 2017 IEEE/ACM 2nd International Workshop on Emotion Awareness in Software Engineering (SEmotion), 22–25. https://doi.org/10.1109/semotion.2017.4
  30. Tennant, J., Graziotin, D., & Kearns, S. (2017). We have the technology to save peer review-now it is up to our communities to implement it. Impact of Social Sciences Blog. https://blogs.lse.ac.uk/impactofsocialsciences/2017/09/11/we-have-the-technology-to-save-peer-review-now-it-is-up-to-our-communities-to-implement-it/
  31. Graziotin, D. (2016). Software quality information needs. Research Ideas and Outcomes, 2, e8865. https://doi.org/10.3897/rio.2.e8865
  32. Graziotin, D. (2016). Towards a theory of affect and software developers’ performance. ArXiv Preprint ArXiv:1601.05330.
  33. Pflüger, D., Mehl, M., Valentin, J., Lindner, F., Pfander, D., Wagner, S., Graziotin, D., & Wang, Y. (2016). The scalability-efficiency/maintainability-portability trade-off in simulation software engineering: Examples and a preliminary systematic literature review. 2016 Fourth International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering (SE-HPCCSE), 26–34. https://doi.org/10.1109/SE-HPCCSE.2016.008
  34. Mäntylä, M., Adams, B., Destefanis, G., Graziotin, D., & Ortu, M. (2016). Mining valence, arousal, and dominance: possibilities for detecting burnout and productivity? Proceedings of the 13th International Conference on Mining Software Repositories. Proceedings of the 13th International Conference on Mining Software Repositories (MSR 2016), 247–258. https://doi.org/10.1145/2901739.2901752

Bachelor of Science

  • Lecturer for Grundlagen der Informatik I (Introduction to Computer Science, WiSe 2019-20 — present)
  • Supervisor for Human Aspects in Software Engineering Seminar (SoSe, 2016; WiSe 2020-21 — present)
  • Lab lecturer for Grundlagen des Software Engineerings/Einführung in die Softwaretechnik (SoSe 2019, now held by Justus Bogner)
  • Supervisor for Behavioral Software Engineering Seminar (WiSe 2016-17; SoSE 2019, concluded)

Master of Science

  • Lecturer for Forschungsmethoden in der Softwaretechnik (Research Methods in Software Engineering, WiSe 2016-17 — present)
  • Supervisor for Hauptseminar: Behavioral Software Engineering (SoSe 2020 — present)
  • Supervisor for ENPRO (WiSe 2019-20, concluded)
  • Lab lecturer for Qualitätssicherung und Wartung (Software Quality Assurance and Maintenance, SoSe 2019, concluded)
  • Supervisor for Hauptseminar Human Aspects in Software Engineering (WiSe 2019-20, concluded)

Dr. Daniel Graziotin received his PhD in computer science, software engineering at the Free University of Bozen-Bolzano, Italy. He is a tenured senior researcher (Akademischer Rat, A13) at the Institute of Software Engineering, University of Stuttgart, Germany, where he heads the division for Human Aspects of Software Engineering (HASE). He performs research and teaching activities in English and in German. He has been the recipient of a two-year Alexander von Humboldt (AvH) Fellowship for Postdoctoral Researchers in 2017. Dr.~Graziotin's research interests include human aspects in empirical software engineering with mixed research methods (qualitative and quantitative studies), theory building, inter- and multidisciplinary research with theory, methods, and measurements from psychology, social science, and behavioral science. His research has appeared in venues for software engineering, human-computer interaction, and psychology. He is editorial advisory board member at the Journal of Open Research Software, academic editor at the Research Ideas and Outcomes (RIO) journal, and editorial board member at the Empirical Software Engineering journal. He has served in the organizing committees of multiple international research conferences (ICSE, ESEC/FSE, ESEM, XP, PROFES) and workshops (CHASE, SEmotion) as well as serving into dozens program committees. Dr.~Graziotin is an open science advocate and drives the open science initiative at the ACM Special Interest Group on Software Engineering (SIGSOFT) to foster the practice of open access, open data, and open source at the various research venues in software engineering. His work has been awarded with the Journal of Systems and Software Best Paper award in 2019, the Jean-Claude Guédon Prize in 2018, the European Design Award (bronze) in 2016, and the Data Journalism Award in 2015.

I have been in academia for some time now. Long enough that I start noticing patterns in the questions potential and current supervised students ask. Sometimes it gets tiring answering them multiple times per semester. I decided to start a FAQ. Please read it if you would like me to supervise a thesis or an intermediate project of yours. Read it also if I am currently supervising you. The list contains all the little tips and tricks for maximizing your chances that I will accept your request. And also, some basis for ensuring a good quality work.

Are you interested in writing your intermediate project or thesis with me? Great! Make sure you read the FAQ before contacting me.

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