92 citations · 596 across the 29 of their papers we have counts for
3 papers · 1 filter
Detecting Soft Skills in ML Engineering Roles CVs
Aidin Azamnouri, Nouran Ayad, Justus Bogner +1
Soft skills shape collaboration among ML engineers, data scientists, and software engineers building ML-enabled systems, yet what we know about them comes almost entirely from the…
Evaluating RE Practices for Explainability: Synthesizing Insights from Daimler Truck into an Explainable RE Framework Proposal
Umm-e- Habiba, Lucas Mauser, Jonas Fritzsch +2
Explainability has emerged as a critical requirement for AI-based systems, particularly in safety-critical and regulated domains. Although prior research has proposed frameworks, p…
Exploring CoCo Challenges in ML Engineering Teams: Insights From the Semiconductor Industry
A. Azamnouri, M. Haug, L. Woltmann +3
The integration of machine learning (ML) into complex software systems has increased challenges in collaboration and communication (CoCo) of the teams building these systems. ML en…