APA (7th ed.) Citation

Zhu, L., Wiangsamut, S., & Polpinij, J. (2026). Integrating Lightweight Transformers for Cross-Project Bug Severity Classification: An Applied AI Approach in Software Engineering. Applied Sciences (2076-3417), 16(12), 6026. https://doi.org/10.3390/app16126026

Chicago Style (17th ed.) Citation

Zhu, Liangliang, Samruan Wiangsamut, and Jantima Polpinij. "Integrating Lightweight Transformers for Cross-Project Bug Severity Classification: An Applied AI Approach in Software Engineering." Applied Sciences (2076-3417) 16, no. 12 (2026): 6026. https://doi.org/10.3390/app16126026.

MLA (9th ed.) Citation

Zhu, Liangliang, et al. "Integrating Lightweight Transformers for Cross-Project Bug Severity Classification: An Applied AI Approach in Software Engineering." Applied Sciences (2076-3417), vol. 16, no. 12, 2026, p. 6026, https://doi.org/10.3390/app16126026.