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T. Mikkonen

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Conference Aug 2026

Towards Ontology-Guided Requirements Quality Analysis: an LLM-Based Tool for EHR Systems

Systematic assessment of software requirements against standardized quality models remains a challenge in requirements engineering (RE), particularly in large-scale, critical, and regulated information systems. Large language models (LLMs) have been extensively studied in many RE tasks; however, grounding LLM-assisted...

L. Hellman, Petri Ihantola, T. Mikkonen et al. · 0 citations
Preprint Aug 2026

On the Figures of Merit for Quantum Software Security: Toward a Benchmarking Rubric

Quantum software is increasingly provided through multi-tenant and cloud-based Quantum-as-a-Service (QaaS) stacks. A growing concern about the diverse attack vectors across the pipeline has been demonstrated in recent research. Yet the community has converged on three mature pillars: Scale (Qubit Count), Quality (Quant...

Badhon Rahman, Majid Haghparast, T. Mikkonen · 0 citations
Preprint Sep 2026

An Autonomy Aware Metamodel for Human AI Collaboration in Software Engineering

This work provides a conceptual foundation for governance-aware, adaptable, and AI-first software engineering methods by proposing a metamodel that treats autonomy not as a fixed property of an actor, but as a derived, situation-dependent authority assignment determined by task, context, and collaboration pattern.

Mahade Hasan, M. Hasan, Zhe-Ying Zhang et al. · 0 citations
Preprint Aug 2026

An End-to-End Threat Model for the Quantum-as-a-Service Pipeline

This matrix demonstrated attack vectors in quantum-specific, inherited classical, and plausible tiers for each of the stages and investigates the underexplored sections (repudiation and elevation-of-privilege) and distinguish three different cross-stage attack chains with higher impacts.

Badhon Rahman, Majid Haghparast, T. Mikkonen · 1 citation
#artificial intelligence Book Open access Nov 2023

Examining Privacy and Trust Issues at the Edge of Isomorphic IoT Architectures: Case Liquid AI

This research highlights the heightened threats to data integrity and stakeholder trust in these evolving ecosystems through an intensive examination of the literature, initiating a pioneering discourse emphasizing fostering a foundation for developing secure and trustworthy Liquid AI environments.

M. Agbese, Niko Mäkitalo, Muhammad Waseem et al. · 6 citations · ⚡1
#computer vision Conference Open access Feb 2026

Carbon-Aware Governance Gates: An Architecture for Sustainable GenAI Development

Carbon-Aware Governance Gates (CAGG), an architectural extension that embeds carbon budgets, energy provenance, and sustainability-aware validation orchestration into human-AI governance layers, is proposed.

M. Abbasi, T. Mikkonen, Petri Ihantola et al. · 0 citations

Time for AI (Ethics) Maturity Model Is Now

It is argued that AI software is still software and needs to be approached from the software development perspective, and whether the focus should be on AI ethics or the quality of an AI system, called a maturity model for the development of AI systems is discussed.

Ville Vakkuri, Marianna Jantunen, Erika Halme et al. · 17 citations · ⚡1
#computer vision Open access 2016

Product-Focused Software Process Improvement

This paper reports a study where realism was combined with control over certain context and process factors to identify the most important relationships among process, context and outcome.

P. Abrahamsson, Andreas Jedlitschka, A. Duc et al. · 3 citations
#computer vision Conference Open access Aug 2019

Exploring Virtual Reality as an Integrated Development Environment for Cyber-Physical Systems

Cyber Physical Systems (CPS) development approaches tend to start from the physical (hardware) perspective, and the software is the final element in the process. However, this approach is unfit for the more software-intensive world that is increasingly iterative, connected, and constantly online. Many constraints preve...

T. Mikkonen, Kai-Kristian Kemell, Petri Kettunen et al. · 3 citations
#computer vision Open access Nov 2019

Containers in Software Development: A Systematic Mapping Study

Containers are most often discussed in the context of cloud computing, performance and DevOps, and it is found that what is currently missing is more deeply focused research.

Mikael Koskinen, T. Mikkonen, P. Abrahamsson · 15 citations · ⚡1
#computer vision Open access Jul 2020

Towards a Secure DevOps Approach for Cyber-Physical Systems: An Industrial Perspective

The study shows that, because security is a cross-cutting property in complex CPSs, its proficient management requires system-wide competencies and capabilities across the CPSs development and operation.

P. Abrahamsson, Goetz Botterweck, Hadi Ghanbari et al. · 14 citations

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