Registered user since Thu 9 Mar 2017
I am a full professor of empirical software engineering at the University of Stuttgart, Germany.
Contributions
Research
Tue 14 Jun 2022 13:00 - 13:30 at Tuesday track 1 (Kelvin and online) - Research Track Kelvin Session 2 Chair(s): Philipp Leitnerno description available
Link to join: https://eu01web.zoom.us/j/65770928813?pwd=R0FqVFQyNC9Oc2hDV0wvQ2pKaXhidz09
Research
Wed 15 Jun 2022 16:30 - 17:00 at Wednesday Track 2 session 2 (Tesla and online) - Research Track Virtual 2 Session 3 Chair(s): Aleksander Fabijan, Rebekka WohlrabContext: Citations are a key measure of scientific performance in most fields, including software engineering. However, there is limited research that studies which characteristics of articles’ metadata (title, abstract, keywords, and author list) are driving citations in this field. Objective: In this study, we propose a simple theoretical model for how citations come to be with respect to article metadata, we hypothesize theoretical linkages between metadata characteristics and citations of articles, and we empirically test these hypotheses. Method: We use multiple regression analyses to examine a data set comprising the titles, abstracts, keywords, and authors of 16,131 software engineering articles published between 1990 and 2020 in 20 highly influential software engineering venues. Results: We find that number of authors, number of keywords, number of question marks and dividers in the title, number of acronyms, abstract length, abstract propositional idea density, and corresponding authors in the core Anglosphere are significantly related to citations. Conclusion: Various characteristics of articles’ metadata are linked to the frequency with which the corresponding articles are cited. These results partially confirm and partially go counter to prior findings in software engineering and other disciplines.
DOI Pre-printLink to join: https://eu01web.zoom.us/j/61841934182?pwd=ZkpFVFhpTnZKcXhNbU4ydlUxRWl1Zz09
