Serviceeinschränkungen vom 12.-22.02.2026 - weitere Infos auf der UB-Homepage
American Psychological Association 6th edition

Tirandasu, R. K., Yalla, P., Tumula, S., Chithaluru, P., Kumar, M., & Dhull, A. (2025). Enhanced Fault Detection Using Coupling and Cohesion Metrics with Deep CNN Modeling. International Journal of Software Engineering & Knowledge Engineering, 35(7), 987-1007. https://doi.org/10.1142/S0218194025500299

ISO-690 (author-date, English)

TIRANDASU, Ravi Kumar, YALLA, Prasanth, TUMULA, Sridevi, CHITHALURU, Premkumar, KUMAR, Manoj und DHULL, Anuradha, 2025. Enhanced Fault Detection Using Coupling and Cohesion Metrics with Deep CNN Modeling. International Journal of Software Engineering & Knowledge Engineering. 1 Juli 2025. Vol. 35, no. 7, p. 987-1007. DOI 10.1142/S0218194025500299.

Modern Language Association 9th edition

Tirandasu, R. K., P. Yalla, S. Tumula, P. Chithaluru, M. Kumar, und A. Dhull. „Enhanced Fault Detection Using Coupling and Cohesion Metrics With Deep CNN Modeling.“. International Journal of Software Engineering & Knowledge Engineering, Bd. 35, Nr. 7, Juli 2025, S. 987-1007, https://doi.org/10.1142/S0218194025500299.

Mohr Siebeck - Recht (Deutsch - Österreich)

Tirandasu, Ravi Kumar/Yalla, Prasanth/Tumula, Sridevi/Chithaluru, Premkumar/Kumar, Manoj/Dhull, Anuradha: Enhanced Fault Detection Using Coupling and Cohesion Metrics with Deep CNN Modeling., International Journal of Software Engineering & Knowledge Engineering 2025, 987-1007.

Emerald - Harvard

Tirandasu, R.K., Yalla, P., Tumula, S., Chithaluru, P., Kumar, M. und Dhull, A. (2025), „Enhanced Fault Detection Using Coupling and Cohesion Metrics with Deep CNN Modeling.“, International Journal of Software Engineering & Knowledge Engineering, Vol. 35 No. 7, S. 987-1007.

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