Exploring AI for Software Engineering, Data Quality, Software Architecture, Technical Debt, Knowledge Graphs, and Trustworthy AI through structured paper reviews and research reflections.
As I prepare for my Master's research, I document the papers I read, summarize their key contributions, analyze their limitations, and connect them to my own research interests. These notes help me build a deeper understanding of the field while creating a long-term knowledge base.
Papers Read
4
Research Areas
4
Notes Published
4
Reading Streak
14 Days
D. Sculley, Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar Ebner, Vinay Chaudhary, Michael Young, Jean-François Crespo, Dan Dennison
Amershi, S., Begel, A., Bird, C., DeLine, R., Gall, H., Kamar, E., Nagappan, N., Nushi, B., & Zimmermann, T.
Xinyi Hou, Yanjie Zhao, Yue Liu, Zhou Yang, Kailong Wang, Li Li, Tegawendé F. Bissyandé, Jacques Klein, David Lo
Shristi Chand, Arbab Khan, and Marcus Johansson