Zhou, Z., Yu, H., Fan, G., Huang, Z., Yang, K., & Zhang, J. (2022). HQLgen: deep learning based HQL query generation from program context. Automated Software Engineering: An International Journal, 29(2). https://doi.org/10.1007/s10515-022-00359-5
ISO-690 (author-date, English)ZHOU, Ziyi, YU, Huiqun, FAN, Guisheng, HUANG, Zijie, YANG, Kang und ZHANG, Jiayin, 2022. HQLgen: deep learning based HQL query generation from program context. Automated Software Engineering: An International Journal. 1 November 2022. Vol. 29, no. 2, . DOI 10.1007/s10515-022-00359-5.
Modern Language Association 9th editionZhou, Z., H. Yu, G. Fan, Z. Huang, K. Yang, und J. Zhang. „HQLgen: Deep Learning Based HQL Query Generation from Program Context“. Automated Software Engineering: An International Journal, Bd. 29, Nr. 2, November 2022, https://doi.org/10.1007/s10515-022-00359-5.
Mohr Siebeck - Recht (Deutsch - Österreich)Zhou, Ziyi/Yu, Huiqun/Fan, Guisheng/Huang, Zijie/Yang, Kang/Zhang, Jiayin: HQLgen: deep learning based HQL query generation from program context, Automated Software Engineering: An International Journal 2022,
Emerald - HarvardZhou, Z., Yu, H., Fan, G., Huang, Z., Yang, K. und Zhang, J. (2022), „HQLgen: deep learning based HQL query generation from program context“, Automated Software Engineering: An International Journal, Vol. 29 No. 2, verfügbar unter:https://doi.org/10.1007/s10515-022-00359-5.