12 citations · 29 across the 10 of their papers we have counts for
3 papers · 1 filter
Counterfactual Explanations for Models of Code
Jürgen Cito, Isil Dillig, Vijayaraghavan Murali +1
Machine learning (ML) models play an increasingly prevalent role in many software engineering tasks. However, because most models are now powered by opaque deep neural networks, it…
Interactive Static Software Performance Analysis in the IDE
Aaron Beigelbeck, Maurício Aniche, Jürgen Cito
Detecting performance issues due to suboptimal code during the development process can be a daunting task, especially when it comes to localizing them after noticing performance de…
Meeting in the notebook: a notebook-based environment for micro-submissions in data science collaborations
Micah J. Smith, Jürgen Cito, Kalyan Veeramachaneni
Developers in data science and other domains frequently use computational notebooks to create exploratory analyses and prototype models. However, they often struggle to incorporate…