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20182026
most citedChoosing the Right Path for AI Integration in Engineering Companies: A Strategic Guide

26 citations · 59 across the 16 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.SE2026

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…

cs.SE2026

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…

cs.SE2026

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…

cs.SE2026

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…

cs.AI2026

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…

cs.HC2026

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…