SIEVE: Helping developers sift wheat from chaff via cross-platform analysis

• Main Authors: SULISTYA, Agus, PRANA, Gede A. A. P., LO, David, TREUDE, Christoph
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Word Embeddings; Transfer Representation Learning; Software Engineering; Programming Languages and Compilers
• Online Access: https://ink.library.smu.edu.sg/sis_research/4499; https://ink.library.smu.edu.sg/context/sis_research/article/5502/viewcontent/arXiv_1810.13144.pdf
• Institution: Singapore Management University

Software developers have benefited from various sources of knowledge such as forums, question-and-answer sites, and social media platforms to help them in various tasks. Extracting software-related knowledge from different platforms involves many challenges. In this paper, we propose an approach to...