On the effectiveness of pretrained models for API learning

• Main Authors: HADI, Mohammad Abdul, IMAM NUR BANI YUSUF, Ferdian, Thung, LUONG, Gia Kien, JIANG, Lingxiao, FARD, Fatemeh H., LO, David
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: API; Deep leaning; Transformers; Code search; API sequence; API usage; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7642; https://ink.library.smu.edu.sg/context/sis_research/article/8645/viewcontent/ICPC22Pretrained.pdf
• Institution: Singapore Management University

Developers frequently use APIs to implement certain functionalities, such as parsing Excel Files, reading and writing text files line by line, etc. Developers can greatly benefit from automatic API usage sequence generation based on natural language queries for building applications in a faster and...