Siamese: scalable and incremental code clone search via multiple code representations
Every day brings more and more code into open access and available online. With it, a need for a better search for code arises.
At the seminar, we will discuss a paper that suggest a new approach to that task.
Speakers: Aleksei Berezhnikh and Maksim Shamrai.
Presentation language: Russian.
Date and time: April 24th, 8:00-9:30 pm.
Location: Times, room 204.
Videos from previous seminars are available at http://bit.ly/MLJBSeminars
- About seminars
22 May 2019An Empirical Study on Quality of Android Applications written in Kotlin language
15 May 2019Who Should Make Decision on this Pull Request? Analyzing Time-Decaying Relationships and File Similarities for Integrator Prediction
8 May 2019Maybe Deep Neural Networks are the Best Choice for Modeling Source Code
24 April 2019Siamese: scalable and incremental code clone search via multiple code representations
17 April 2019An Approach and Benchmark to Detect Behavioral Changes of Commits in Continuous Integration