Funder
Fonds de recherche du Québec – Nature et technologies
Natural Sciences and Engineering Research Council of Canada
Publisher
Springer Science and Business Media LLC
Reference49 articles.
1. Agrawal R, Imielinski T, Swami A (1993) Mining associations between sets of items in large databases. In: Proceedings of the ACM SIGMOD international conference on management of data, pp 207–216
2. Agrawal R, Srikant R, et al. (1994) Fast algorithms for mining association rules. In: Proc. 20th int. conf. very large data bases, VLDB, vol 1215. Citeseer, pp 487–499
3. de Almeida Filho FG, Martins ADF, Vinuto TdS, Monteiro JM, de Sousa ÍP, de Castro Machado J, Rocha LS (2019) Prevalence of bad smells in PL/SQL projects. In: Proceedings of the 27th international conference on program comprehension. IEEE Press, pp 116–121
4. Alomar EA, Peruma A, Mkaouer MW, Newman C, Ouni A, Kessentini M (2021) How we refactor and how we document it? On the use of supervised machine learning algorithms to classify refactoring documentation. Expert Syst Appl 167(114):176
5. Arzamasova N, Schäler M, Böhm K (2018) Cleaning antipatterns in an SQL query log. IEEE Trans Knowl Data Eng 30(3):421–434