Fast code recommendation via approximate sub-tree matching
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.2100379.pdf
Reference21 articles.
1. Ai L, Huang ZQ, Li WW, et al., 2019. SENSORY: leveraging code statement sequence information for code snippets recommendation. Proc IEEE 43rd Annual Computer Software and Applications Conf, p.27–36. https://doi.org/10.1109/COMPSAC.2019.00014
2. Antunes B, Furtado B, Gomes P, 2014. Context-based search, recommendation and browsing in software development. In: Brézillon P, Gonzalez AJ (Eds.), Context in Computing: a Cross-Disciplinary Approach for Modeling the Real World. Springer, New York, USA, p.45–62. https://doi.org/10.1007/978-1-4939-1887-4_4
3. Baxter ID, Yahin A, Moura L, et al., 1998. Clone detection using abstract syntax trees. Proc Int Conf on Software Maintenance, p.368–377. https://doi.org/10.1109/ICSM.1998.738528
4. Chen S, Zhang KZ, 2014. An improved algorithm for tree edit distance with applications for RNA secondary structure comparison. J Comb Optim, 27(4):778–797. https://doi.org/10.1007/s10878-012-9552-1
5. Ďuračík M, Kršák E, Hrkút P, 2020. Searching source code fragments using incremental clustering. Concurr Comput Pract Exp, 32(13):e5416. https://doi.org/10.1002/cpe.5416
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