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Number of items: 4.

Cergani, Ervina (2020):
Machine Learning as a Mean to Uncover Latent Knowledge from Source Code.
Darmstadt, Technische Universität, DOI: 10.25534/tuprints-00011658,
[Online-Edition: https://tuprints.ulb.tu-darmstadt.de/11658],
[Ph.D. Thesis]

Cergani, Ervina and Proksch, Sebastian and Nadi, Sarah and Mezini, Mira (2018):
Investigating Order Information in API-Usage Patterns: A Benchmark and Empirical Study.
In: 13th International Conferewnce on Software Technologies - ICSOFT 2018, Porto, Portugal, 26 -28 July, 2018, [Online-Edition: http://insticc.org/node/TechnicalProgram/icsoft/presentation...],
[Conference or Workshop Item]

Cergani, Ervina and Proksch, Sebastian and Nadi, Sarah and Mezini, Mira (2016):
Addressing Scalability in API Method Call Analytics.
In: Proceedings of the 2nd International Workshop on Software Analytics, pp. 1-7, [Online-Edition: https://doi.org/10.1145/2989238.2989240],
[Conference or Workshop Item]

Cergani, Ervina and Miettinen, Pauli (2013):
Discovering relations using matrix factorization methods.
In: Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13, pp. 1549-1552, [Online-Edition: http://dx.doi.org/10.1145/2505515.2507841],
[Conference or Workshop Item]

This list was generated on Sat Aug 8 01:45:08 2020 CEST.