Software clone detection: A systematic review
By Dhavleesh Rattan, Rajesh Kumar Bhatia, Maninder Pal Singh. Information and Software Technology, 2013
463 citations recorded by the source corpus.
Subfields: Information Systems, Software
View Paper: https://www.semanticscholar.org/paper/7f069ac5897dbe9d16b7edeb2efd056fe0fbd58e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Baishakhi Ray
- Armando Solar-Lezama
- Abbas Heydarnoori
- Gabriele Bavota
- Seulbae Kim
- Seunghoon Woo
- Matteo Ciniselli
- Heejo Lee
In Software
- Armando Solar-Lezama
- Gabriele Bavota
- Seulbae Kim
- Seunghoon Woo
- Matteo Ciniselli
- Heejo Lee
- Baishakhi Ray
- Vladimir Filkov
Citations in the corpus
- VUDDY: A Scalable Approach for Vulnerable Code Clone Discovery (2017, methodology): “reviewed an extensive amount of research on code clone detection, and reported more than 70 techniques published in 11 journals and 37 conferences and workshops [23].”
- Semantic code search via equational reasoning (2020, background): “Rattan et al [61] survey 72 separate clone-detection tools, finding 5 which use PDGs [15, 22, 24, 34, 36].”
- Cross-project code clones in GitHub (2018, background): “have studied and summarized the majority of clone detection techniques in their comprehensive review in 2013 (Rattan et al. 2013).”
- To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set? (2022, background): “[47], looking at the list of tools documented by the authors.”