42 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Meta (United States)US9 papers
- University of GroningenNL3 papers
- Case Western Reserve UniversityUS2 papers
- Google (United States)US2 papers
- Snap (United States)US2 papers
- University of Southern CaliforniaUS2 papers
- Bellevue Hospital CenterUS1 paper
- California Southern UniversityUS1 paper
- Centre de Recherche en Économie et StatistiqueFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Dokkyo Medical UniversityJP1 paper
- ENSAE ParisFR1 paper
4 papers · 1 filter
Active Learning for Non-Parametric Choice Models
Fransisca Susan, Negin Golrezaei, Ehsan Emamjomeh-Zadeh +1
We study the problem of actively learning a non-parametric choice model based on consumers' decisions. We present a negative result showing that such choice models may not be ident…
Mining Code Review Data to Understand Waiting Times Between Acceptance and Merging: An Empirical Analysis
Gunnar Kudrjavets, Aditya Kumar, Nachiappan Nagappan +1
Increasing code velocity (or the speed with which code changes are reviewed and merged) is integral to speeding up development and contributes to the work satisfaction of engineers…
Do Small Code Changes Merge Faster? A Multi-Language Empirical Investigation
Gunnar Kudrjavets, Nachiappan Nagappan, Ayushi Rastogi
Code velocity, or the speed with which code changes are integrated into a production environment, plays a crucial role in Continuous Integration and Continuous Deployment. Many stu…
Quantifying Daily Evolution of Mobile Software Based on Memory Allocator Churn
Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar +2
The pace and volume of code churn necessary to evolve modern software systems present challenges for analyzing the performance impact of any set of code changes. Traditional method…