26 citations · 36 across the 9 of their papers we have counts for
6 papers · 1 filter
Rethinking Data Quality for AI-Driven Systems: Evidence from Practitioner Interviews
Hariharan Gopinath, Jan Bosch, Helena Holmström Olsson
Data quality research has usually treated data as an input that is stored, processed, and validated. In AI-driven software-intensive systems, data also shapes model behavior, evalu…
Generative AI for trustworthy systems - Towards a health check model
Jan Bosch, Rick Kazman, Henry Muccini +1
The adoption of generative AI in software-intensive systems is proceeding rapidly, but current analytical instruments - principally unidimensional maturity models - compress import…
Assistance to Autonomy: A Systematic Literature Review of Agentic AI across the Software Development Life Cycle
Spyridon Alvanakis Apostolou, Jan Bosch, Helena Holmström Olsson
Agentic AI in software product development is increasingly adopted by organizations, yet the field lacks a consolidated synthesis of where adoption is mature, which architectural p…
EdgeFL: A Lightweight Decentralized Federated Learning Framework
Hongyi Zhang, Jan Bosch, Helena Holmström Olsson
Federated Learning (FL) has emerged as a promising approach for collaborative machine learning, addressing data privacy concerns. However, existing FL platforms and frameworks ofte…
DevServOps: DevOps For Product-Oriented Product-Service Systems
Anas Dakkak, Jan Bosch, Helena Holmström Olsson
For companies developing web-based applications, the Dev and the Ops refer to different groups with either operational or development focus. Therefore, DevOps help these companies…
Bayesian causal inference in automotive software engineering and online evaluation
Yuchu Liu, David Issa Mattos, Jan Bosch +2
Randomised field experiments, such as A/B testing, have long been the gold standard for evaluating software changes. In the automotive domain, running randomised field experiments…