Ervina Cergani, M.Sc.

Picture Ervina Cergani

My research focus is on Big Data Analytics for Automating Software Development. This is based on the usage of Data Mining and Machine Learning techniques, in order to generate “knowledge” from the big software repositories and other sources of information on the web.

At the moment, I am working on feature selection for constructing model patterns, using Information Extraction methods.


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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,
[PhD thesis]


Cergani, Ervina ; Proksch, Sebastian ; Nadi, Sarah ; Mezini, Mira (2018):
Investigating Order Information in API-Usage Patterns: A Benchmark and Empirical Study.
13th International Conferewnce on Software Technologies - ICSOFT 2018, Porto, Portugal, 26 -28 July, 2018, [Conference item]


Cergani, Ervina ; Proksch, Sebastian ; Nadi, Sarah ; Mezini, Mira (2016):
Addressing Scalability in API Method Call Analytics.
In: Proceedings of the 2nd International Workshop on Software Analytics, S. 1-7,
[Conference item]


Cergani, Ervina ; 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, S. 1549-1552,
[Conference item]

This list was generated on Wed May 12 06:25:02 2021 CEST.