Shah, M. B., Rahman, M. M., & Khomh, F. (2025). Towards understanding the impact of data bugs on deep learning models in software engineering. Empirical Software Engineering: An International Journal, 30(6). https://doi.org/10.1007/s10664-025-10717-y
ISO-690 (author-date, English)SHAH, Mehil B., RAHMAN, Mohammad Masudur und KHOMH, Foutse, 2025. Towards understanding the impact of data bugs on deep learning models in software engineering. Empirical Software Engineering: An International Journal. 1 Dezember 2025. Vol. 30, no. 6, . DOI 10.1007/s10664-025-10717-y.
Modern Language Association 9th editionShah, M. B., M. M. Rahman, und F. Khomh. „Towards Understanding the Impact of Data Bugs on Deep Learning Models in Software Engineering“. Empirical Software Engineering: An International Journal, Bd. 30, Nr. 6, Dezember 2025, https://doi.org/10.1007/s10664-025-10717-y.
Mohr Siebeck - Recht (Deutsch - Österreich)Shah, Mehil B./Rahman, Mohammad Masudur/Khomh, Foutse: Towards understanding the impact of data bugs on deep learning models in software engineering, Empirical Software Engineering: An International Journal 2025,
Emerald - HarvardShah, M.B., Rahman, M.M. und Khomh, F. (2025), „Towards understanding the impact of data bugs on deep learning models in software engineering“, Empirical Software Engineering: An International Journal, Vol. 30 No. 6, verfügbar unter:https://doi.org/10.1007/s10664-025-10717-y.