26 citations · 59 across the 16 of their papers we have counts for
20 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…
Agentic AI in Industry: Adoption Level and Deployment Barriers
Spyridon Alvanakis Apostolou, Jan Bosch, Helena Holmström Olsson
Agentic AI is entering software engineering workflows, but empirical evidence on its transition from experimental capability to production use remains limited. We report a qualitat…
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…
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…
Bayesian propensity score matching in automotive embedded software engineering
Yuchu Liu, David Issa Mattos, Jan Bosch +2
Randomised field experiments, such as A/B testing, have long been the gold standard for evaluating the value that new software brings to customers. However, running randomised fiel…
An architecture for enabling A/B experiments in automotive embedded software
Yuchu Liu, Jan Bosch, Helena Holmström Olsson +1
A/B experimentation is a known technique for data-driven product development and has demonstrated its value in web-facing businesses. With the digitalisation of the automotive indu…
Size matters? Or not: A/B testing with limited sample in automotive embedded software
Yuchu Liu, David Issa Mattos, Jan Bosch +2
A/B testing is gaining attention in the automotive sector as a promising tool to measure causal effects from software changes. Different from the web-facing businesses, where A/B t…
On the Assessment of Benchmark Suites for Algorithm Comparison
David Issa Mattos, Lucas Ruud, Jan Bosch +1
Benchmark suites, i.e. a collection of benchmark functions, are widely used in the comparison of black-box optimization algorithms. Over the years, research has identified many des…
Real-time End-to-End Federated Learning: An Automotive Case Study
Hongyi Zhang, Jan Bosch, Helena Holmström Olsson
With the development and the increasing interests in ML/DL fields, companies are eager to apply Machine Learning/Deep Learning approaches to increase service quality and customer e…
Statistical Models for the Analysis of Optimization Algorithms with Benchmark Functions
David Issa Mattos, Jan Bosch, Helena Holmström Olsson
Frequentist statistical methods, such as hypothesis testing, are standard practice in papers that provide benchmark comparisons. Unfortunately, these methods have often been misuse…
Engineering AI Systems: A Research Agenda
Jan Bosch, Ivica Crnkovic, Helena Holmström Olsson
Artificial intelligence (AI) and machine learning (ML) are increasingly broadly adopted in industry, However, based on well over a dozen case studies, we have learned that deployin…
Towards an Understanding of Scaling Frameworks and Business Agility: A Summary of the 6th International Workshop at XP2018
Torgeir Dingsøyr, Nils Brede Moe, Helena Holmstrom Ohlsson
Large development projects and programs are conducted using agile development methods, with an increasing body of advice from practitioners and from research. This sixth workshop s…