PHUNG, Khoa, AYDIN, Mehmet E. und OGUNSHILE, Emmanuel, 2026. Deep Learning Architectures for Software Fault Prediction: The Impact of Error‐Type Metrics and Class Imbalance. Concurrency & Computation: Practice & Experience. 1 Januar 2026. Vol. 38, no. 1, p. 1-24. DOI 10.1002/cpe.70472.
Elsevier - Harvard (with titles)Phung, K., Aydin, M.E., Ogunshile, E., 2026. Deep Learning Architectures for Software Fault Prediction: The Impact of Error‐Type Metrics and Class Imbalance. Concurrency & Computation: Practice & Experience 38, 1-24. https://doi.org/10.1002/cpe.70472
American Psychological Association 7th editionPhung, K., Aydin, M. E., & Ogunshile, E. (2026). Deep Learning Architectures for Software Fault Prediction: The Impact of Error‐Type Metrics and Class Imbalance. Concurrency & Computation: Practice & Experience, 38(1), 1-24. https://doi.org/10.1002/cpe.70472
Springer - Basic (author-date)Phung K, Aydin ME, Ogunshile E (2026) Deep Learning Architectures for Software Fault Prediction: The Impact of Error‐Type Metrics and Class Imbalance.. Concurrency & Computation: Practice & Experience 38:1-24. https://doi.org/10.1002/cpe.70472
Juristische Zitierweise (Stüber) (Deutsch)Phung, Khoa/ Aydin, Mehmet E./ Ogunshile, Emmanuel, Deep Learning Architectures for Software Fault Prediction: The Impact of Error‐Type Metrics and Class Imbalance., Concurrency & Computation: Practice & Experience 2026, 1-24.