Tao, C., Wang, T., Guo, H., & Zhang, J. (2022). An Approach to Software Defect Prediction Combining Semantic Features and Code Changes. International Journal of Software Engineering & Knowledge Engineering, 32(9), 1345-1368. https://doi.org/10.1142/S0218194022500504
ISO-690 (author-date, English)TAO, Chuanqi, WANG, Tao, GUO, Hongjing und ZHANG, Jingxuan, 2022. An Approach to Software Defect Prediction Combining Semantic Features and Code Changes. International Journal of Software Engineering & Knowledge Engineering. 1 September 2022. Vol. 32, no. 9, p. 1345-1368. DOI 10.1142/S0218194022500504.
Modern Language Association 9th editionTao, C., T. Wang, H. Guo, und J. Zhang. „An Approach to Software Defect Prediction Combining Semantic Features and Code Changes.“. International Journal of Software Engineering & Knowledge Engineering, Bd. 32, Nr. 9, September 2022, S. 1345-68, https://doi.org/10.1142/S0218194022500504.
Mohr Siebeck - Recht (Deutsch - Österreich)Tao, Chuanqi/Wang, Tao/Guo, Hongjing/Zhang, Jingxuan: An Approach to Software Defect Prediction Combining Semantic Features and Code Changes., International Journal of Software Engineering & Knowledge Engineering 2022, 1345-1368.
Emerald - HarvardTao, C., Wang, T., Guo, H. und Zhang, J. (2022), „An Approach to Software Defect Prediction Combining Semantic Features and Code Changes.“, International Journal of Software Engineering & Knowledge Engineering, Vol. 32 No. 9, S. 1345-1368.