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doi:10.22028/D291-39953
Titel: | Correlates of programmer efficacy and their link to experience: a combined EEG and eye-tracking study |
VerfasserIn: | Peitek, Norman Bergum, Annabelle Rekrut, Maurice Mucke, Jonas Nadig, Matthias Parnin, Chris Siegmund, Janet Apel, Sven |
Sprache: | Englisch |
Titel: | Proceedings of the 30th ACM Joint Meeting : European Software Engineering Conference and Symposium on the Foundations of Software Engineering |
Seiten: | 120-131 |
Verlag/Plattform: | Association for Computing Machinery |
Erscheinungsjahr: | 2022 |
Freie Schlagwörter: | Programmer efficacy program comprehension cognitive load electroencephalography eye tracking |
DDC-Sachgruppe: | 004 Informatik |
Dokumenttyp: | Konferenzbeitrag (in einem Konferenzband / InProceedings erschienener Beitrag) |
Abstract: | Background: Despite similar education and background, programmers can exhibit vast differences in efficacy. While research has identified some potential factors, such as programming experience and domain knowledge, the effect of these factors on programmers’ efficacy is not well understood. Aims: We aim at unraveling the relationship between efficacy (speed and correctness) and measures of programming experience. We further investigate the correlates of programmer efficacy in terms of reading behavior and cognitive load. Method: For this purpose, we conducted a controlled experiment with 37 participants using electroencephalography (EEG) and eye tracking. We asked participants to comprehend up to 32 Java sourcecode snippets and observed their eye gaze and neural correlates of cognitive load. We analyzed the correlation of participants’ efficacy with popular programming experience measures. Results: We found that programmers with high efficacy read source code more targeted and with lower cognitive load. Commonly used experience levels do not predict programmer efficacy well, but selfestimation and indicators of learning eagerness are fairly accurate. Implications: The identified correlates of programmer efficacy can be used for future research and practice (e.g., hiring). Future research should also consider efficacy as a group sampling method, rather than using simple experience measures. |
DOI der Erstveröffentlichung: | 10.1145/3540250.3549084 |
URL der Erstveröffentlichung: | https://dl.acm.org/doi/10.1145/3540250.3549084 |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291--ds-399530 hdl:20.500.11880/35948 http://dx.doi.org/10.22028/D291-39953 |
ISBN: | 978-1-4503-9413-0 |
Datum des Eintrags: | 12-Jun-2023 |
Bemerkung/Hinweis: | ESEC/FSE ’22, November 14-18, 2022, Singapore, Singapore |
Fakultät: | MI - Fakultät für Mathematik und Informatik |
Fachrichtung: | MI - Informatik |
Professur: | MI - Prof. Dr. Sven Apel MI - Prof. Dr. Antonio Krüger |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
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3540250.3549084.pdf | 2,45 MB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons