Nadim, M., & Roy, B. (2023). Utilizing source code syntax patterns to detect bug inducing commits using machine learning models. Software Quality Journal, 31(3), 775-807. https://doi.org/10.1007/s11219-022-09611-3
ISO-690 (author-date, English)NADIM, Md und ROY, Banani, 2023. Utilizing source code syntax patterns to detect bug inducing commits using machine learning models. Software Quality Journal. 1 September 2023. Vol. 31, no. 3, p. 775-807. DOI 10.1007/s11219-022-09611-3.
Modern Language Association 9th editionNadim, M., und B. Roy. „Utilizing Source Code Syntax Patterns to Detect Bug Inducing Commits Using Machine Learning Models.“. Software Quality Journal, Bd. 31, Nr. 3, September 2023, S. 775-07, https://doi.org/10.1007/s11219-022-09611-3.
Mohr Siebeck - Recht (Deutsch - Österreich)Nadim, Md/Roy, Banani: Utilizing source code syntax patterns to detect bug inducing commits using machine learning models., Software Quality Journal 2023, 775-807.
Emerald - HarvardNadim, M. und Roy, B. (2023), „Utilizing source code syntax patterns to detect bug inducing commits using machine learning models.“, Software Quality Journal, Vol. 31 No. 3, S. 775-807.