EASE 2022
Mon 13 - Wed 15 June 2022 Göteborg, Sweden

Context: 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.

Wed 15 Jun

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

16:30 - 17:30
Research Track Virtual 2 Session 3Research at Wednesday Track 2 session 2 (Tesla and online)
Chair(s): Aleksander Fabijan Microsoft, Rebekka Wohlrab Carnegie Mellon University
Text and Team: What Article Metadata Characteristics Drive Citations in Software Engineering?
Lorenz Graf-Vlachy University of Stuttgart, Daniel Graziotin University of Stuttgart, Stefan Wagner University of Stuttgart
DOI Pre-print
Personality Traits in Game Development
Miriam Sturdee Lancaster University, Matthew Ivory Lancaster University, David Ellis University of Bath, Patrick Stacey Loughborough University, Paul Ralph Dalhousie University

Information for Participants
Wed 15 Jun 2022 16:30 - 17:30 at Wednesday Track 2 session 2 (Tesla and online) - Research Track Virtual 2 Session 3 Chair(s): Aleksander Fabijan, Rebekka Wohlrab
Info for room Wednesday Track 2 session 2 (Tesla and online):

Link to join: https://eu01web.zoom.us/j/61841934182?pwd=ZkpFVFhpTnZKcXhNbU4ydlUxRWl1Zz09