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 (even though they still call it Institute of Software Technology), University of Stuttgart.
What I do: I try to understand humans who develop software. 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.
The book Contemporary Empirical Methods in Software Engineering was published. In it, I co-authored two book chapters. The first one is about modern challenges and solutions for large scale surveys. The second one is a summary of open science in software engineering research, and it’s all about “what, why, and how” of open access, open data, and open source for software engineering research.
A first stable version of open science policies for computer science research venues, developed in my role as SIGSOFT open science chair, is now available.
I have finished drafting what I consider to be the overture of my scientific Habilitation, that is on adopting psychometrics in software engineering research.
I have been tenured as senior researcher (Akademischer Rat, A13) at the Software Engineering group, Institute of Software Technology, University of Stuttgart.
I have been part of large committee to draft a proposal for strategies to develop open scholarship at individual, group, and national level, and short, mid, and long-term.
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]
Ostberg, J., Graziotin, D., Wagner, S., Derntl, B. (2020). A methodology for psycho-biological assessment of stress in software engineering. PeerJ Computer Science, 6, e286. doi:10.7717/peerj-cs.286. [open access]
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. doi:10.1109/access.2020.3002663 [open access][open data]
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]
Tennant, J. P., Penders, B., Ross-Hellauer, T., Marušić, A., Squazzoni, F., Mackay, A. W., … , Graziotin, D., Nicholas, D. (2019). Boon, bias or bane? The potential influence of reviewer recommendations on editorial decision-making. European Science Editing, 45(1), 2-4. doi:10.20316/ese.2019.45.18013 [open access][peer reviewed]
Here you can see all my publications and access all of them for free, as open access.
Last 5 posts
- 2020-10-16 what is happening?!
- 2020-09-22 link layer
- 2020-08-31 reference models
- 2020-08-29 network architecture
- 2020-08-15 network types