My name is Daniel Graziotin.
First and foremost, I am a coffee junkie. Admitting you have a problem is the first step in fixing the problem. Second step is to grind some beans.
I work as senior researcher (Akademischer Rat) in the Empirical Software Engineering group of the Software Engineering Institute, University of Stuttgart. Within the Empirical Software Engineering group, I am the Head of the Human Aspects of Software Engineering (HASE) division.
What I do: I try to understand humans who engage in digitalization.
This includes people working as software engineers, people using software, people who manage software engineers, and people who study software engineering. Not an easy task.
On my website, I ramble about my research activities, which span from human and behavioral aspects of software engineering (such as the happiness of software developers) to open science and research itself. Here you can read more about me or contact me. Sometimes, I post what I call technical articles, which are summaries of solutions of problems I had. Perhaps you find them useful, too.
Our paper Anchoring Code Understandability Evaluations Through Task Descriptions has won the distinguished paper award and the best presentation award at the 30th ACM/IEEE International Conference on Program Comprehension (ICPC 2022). Congrats to my co-author and HASE member Marvin Wyrich for also receiving a distinguished reviewer award!
I have established an independent sub-group at the at the Empirical Software Engineering group, Institute of Software Technology, University of Stuttgart. As Head of the division for Human Aspects of Software Engineering (HASE), I promote bright early career researchers in all fields of behavioral and human aspects of software engineering and its education.
I’m delighted to join PeerJ Computer Science as Academic Editor!
Graziotin, D., Lenberg, P., Feldt, R., & Wagner, S. (2022). Psychometrics in Behavioral Software Engineering: A Methodological Introduction with Guidelines. ACM Transactions on Software Engineering and Methodology, 31(1), 1–36. https://doi.org/10.1145/3469888. (open access) (open data)
Graf-Vlachy, L., Graziotin, D., & Wagner, S. (2022). Text and Team: What Article Metadata Characteristics Drive Citations in Software Engineering? EASE 2022: The International Conference on Evaluation and Assessment in Software Engineering 2022, 20–29. https://doi.org/10.1145/3530019.3530022 (open access)
Wyrich, M., Preikschat, A., Graziotin, D., & Wagner, S. (2021). The Mind Is a Powerful Place: How Showing Code Comprehensibility Metrics Influences Code Understanding. In Proceedings from 43rd International Conference of Software Engineering (ICSE 2021, pp. 512-523) DOI:10.1109/ICSE43902.2021.00055 [open access][open data][explained].
Mendez, D., Graziotin, D., Wagner, S., & Seibold, H. (2020). Open Science in Software Engineering. In M. Felderer & G. H. and Travassos (Eds.), Contemporary Empirical Methods in Software Engineering (pp. 477-501). Cham: Springer International Publishing. doi:10.1007/978-3-030-32489-6_17 [open access]
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. doi:10.1016/j.jss.2018.02.041. [open access][open data][best paper award]
Here you can see all my publications and access all of them for free, as open access.
Last 5 posts
- 2022-09-20 the three types of books any phd student should start with
- 2021-11-17 fixing the icloud+ custom domains error this email is already in use with another apple id
- 2021-08-05 modern latex with bbedit and tectonic
- 2021-06-05 reverse proxy self-hosted services with cloudflare tunnel
- 2021-05-26 [explained] the mind is a powerful place: how showing code comprehensibility metrics influences code understanding