ISO-690 (author-date, English)

ROJPAISARNKIT, R., FAN, Y., MATSUMOTO, K. und KULA, R.G., 2026. How Natural Language Proficiency Shapes Generative AI Code for Software Engineering Tasks. IEEE Software, Software, IEEE, IEEE Softw. 1 Januar 2026. Vol. 43, no. 1, p. 73-80. DOI 10.1109/MS.2025.3622690.

Elsevier - Harvard (with titles)

Rojpaisarnkit, R., Fan, Y., Matsumoto, K., Kula, R., 2026. How Natural Language Proficiency Shapes Generative AI Code for Software Engineering Tasks. IEEE Software, Software, IEEE, IEEE Softw. 43, 73-80. https://doi.org/10.1109/MS.2025.3622690

American Psychological Association 7th edition

Rojpaisarnkit, R., Fan, Y., Matsumoto, K., & Kula, R. (2026). How Natural Language Proficiency Shapes Generative AI Code for Software Engineering Tasks. IEEE Software, Software, IEEE, IEEE Softw., 43(1), 73-80. https://doi.org/10.1109/MS.2025.3622690

Springer - Basic (author-date)

Rojpaisarnkit R, Fan Y, Matsumoto K, Kula R (2026) How Natural Language Proficiency Shapes Generative AI Code for Software Engineering Tasks. IEEE Software, Software, IEEE, IEEE Softw. 43:73-80. https://doi.org/10.1109/MS.2025.3622690

Juristische Zitierweise (Stüber) (Deutsch)

Rojpaisarnkit, R./ Fan, Y./ Matsumoto, K./ Kula, R.G., How Natural Language Proficiency Shapes Generative AI Code for Software Engineering Tasks, IEEE Software, Software, IEEE, IEEE Softw. 2026, 73-80.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.