Discovering Sequential Source Code Patterns in Software Engineering
Author:
Publisher
Duzce Universitesi Bilim ve Teknoloji Dergisi
Subject
General Medicine
Reference16 articles.
1. [1] J. Pei et al., “Mining sequential patterns by pattern-growth: The prefixspan approach,” IEEE Trans. Knowl. Data Eng., 2004, doi: 10.1109/TKDE.2004.77.
2. [2] M. J. Zaki, “SPADE: An efficient algorithm for mining frequent sequences,” Mach. Learn., 2001, doi: 10.1023/A:1007652502315.
3. [3] J. Wang and J. Han, “BIDE: Efficient mining of frequent closed sequences,” 2004, doi: 10.1109/icde.2004.1319986.
4. [4] Z. Yang, Y. Wang, and M. Kitsuregawa, “LAPIN: Effective sequential pattern mining algorithms by last position induction for dense databases,” 2007, doi: 10.1007/978-3-540-71703-4_95.
5. [5] C. D. Newman et al., “On the generation, structure, and semantics of grammar patterns in source code identifiers,” J. Syst. Softw., 2020, doi: 10.1016/j.jss.2020.110740.
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