An Approach and Benchmark to Detect Behavioral Changes of Commits in Continuous Integration
Continuous Integration (CI) is one of the most popular development techniques that aims to streamline testing, product assembly and release.
To make CI effective, developers need to create tests in parallel with any changes they make, to reflect code's behavior before and after.
At the seminar, we will discuss a paper that describes a method of generating new tests with commit and current tests as an input.
Speaker: Gleb Valin.
Presentation language: Russian.
Date and time: April 17th, 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