24 citations · 28 across the 6 of their papers we have counts for
6 papers
Architecturally Significant MLOps Guidelines for ML Model Integration and Deployment: a Gray Literature Review
Faezeh Amou Najafabad, Markus Haug, Keerthiga Rajenthiram +2
Context. Despite the growing adoption of Machine Learning Operations (MLOps), teams often approach MLOps projects in an ad hoc manner due to the lack of consolidated architectural…
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…
How Mature is Requirements Engineering for AI-based Systems? A Systematic Mapping Study on Practices, Challenges, and Future Research Directions
Umm-e- Habiba, Markus Haug, Justus Bogner +1
Artificial intelligence (AI) permeates all fields of life, which resulted in new challenges in requirements engineering for artificial intelligence (RE4AI), e.g., the difficulty in…
Adopting Microservices and DevOps in the Cyber-Physical Systems Domain: A Rapid Review and Case Study
Jonas Fritzsch, Justus Bogner, Markus Haug +5
The domain of cyber-physical systems (CPS) has recently seen strong growth, e.g., due to the rise of the Internet of Things (IoT) in industrial domains, commonly referred to as "In…
Towards Immediate Feedback for Security Relevant Code in Development Environments
Markus Haug Ana Cristina Franco Da Silva, Stefan Wagner
Nowadays, the correct use of cryptography libraries is essential to ensure the necessary information security in different kinds of applications. A common practice in software deve…
Towards an Architecture-centric Methodology for Migrating to Microservices
Jonas Fritzsch, Justus Bogner, Markus Haug +2
The euphoria around microservices has decreased over the years, but the trend of modernizing legacy systems to this novel architectural style is unbroken to date. A variety of appr…