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.
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.
Our paper “The Mind Is a Powerful Place: How Showing Code Comprehensibility Metrics Influences Code Understanding” has been accepted for presentation at the 43rd International Conference on Software Engineering (ICSE ‘21) - technical track. Read the preprint here.
The paper “The evolution of sentiment analysis—A review of research topics, venues, and top cited papers” has been the 3rd most cited article of Computer Science Review for a year now, and the paper “What happens when software developers are (un)happy” has been in the top 3 most downloaded articles of the Journal of Systems and Software for also a year now.
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 been tenured as senior researcher (Akademischer Rat, A13) at the Software Engineering group, Institute of Software Technology, University of Stuttgart.
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
- 2021-01-13 what the hell is an akademischer rat?
- 2021-01-07 stopping or uninstalling universal search on dsm 7
- 2020-12-27 jekyll docker image with imagemagick6 instead of imagemagick7
- 2020-12-08 a no-nonsense docker image for nginx and webdav
- 2020-10-16 what is happening?!