26 citations · 36 across the 9 of their papers we have counts for
12 papers
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…
How to Build AI Agents by Augmenting LLMs with Codified Human Expert Domain Knowledge? A Software Engineering Framework
Choro Ulan uulu, Mikhail Kulyabin, Iris Fuhrmann +6
Critical domain knowledge typically resides with few experts, creating organizational bottlenecks in scalability and decision-making. Non-experts struggle to create effective visua…
Tables or Sankey Diagrams? Investigating User Interaction with Different Representations of Simulation Parameters
Choro Ulan uulu, Mikhail Kulyabin, Katharina M Zeiner +6
Understanding complex parameter dependencies is critical for effective configuration and maintenance of software systems across diverse domains - from Computer-Aided Engineering (C…
User eXperience Perception Insights Dataset (UXPID): Synthetic User Feedback from Public Industrial Forums
Mikhail Kulyabin, Jan Joosten, Choro Ulan uulu +5
Customer feedback in industrial forums offers rich but underexplored insights into real-world product experience. Yet systematic analysis remains challenging due to unstructured, d…
Choosing the Right Path for AI Integration in Engineering Companies: A Strategic Guide
Rimma Dzhusupova, Jan Bosch, Helena Holmstrom Olsson
The Engineering, Procurement and Construction (EPC) businesses operating within the energy sector are recognizing the increasing importance of Artificial Intelligence (AI). Many EP…
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…
5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul
Hongyi Zhang, Zhiqiang Qi, Jingya Li +3
Fast and reliable wireless communication has become a critical demand in human life. In the case of mission-critical (MC) scenarios, for instance, when natural disasters strike, pr…
Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning
Hongyi Zhang, Jingya Li, Zhiqiang Qi +4
Fast and reliable connectivity is essential to enhancing situational awareness and operational efficiency for public safety mission-critical (MC) users. In emergency or disaster ci…