20 citations · 101 across the 31 of their papers we have counts for
3 papers · 1 filter
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process
Nadia Nahar, Shurui Zhou, Grace Lewis +1
The introduction of machine learning (ML) components in software projects has created the need for software engineers to collaborate with data scientists and other specialists. Whi…
Feature Interactions on Steroids: On the Composition of ML Models
Christian Kästner, Eunsuk Kang, Sven Apel
The lack of specifications is a key difference between traditional software engineering and machine learning. We discuss how it drastically impacts how we think about divide-and-co…
Containing Malicious Package Updates in npm with a Lightweight Permission System
Gabriel Ferreira, Limin Jia, Joshua Sunshine +1
The large amount of third-party packages available in fast-moving software ecosystems, such as Node.js/npm, enables attackers to compromise applications by pushing malicious update…