TKTP 2026
Annual Doctoral Symposium of Computer Science 2026

Table of Contents

• Summary: There were 33 papers submitted for peer-review to this workshop. Out of these, 16 papers were accepted for this volume.

Session 1

• Measuring LLM Behaviour: A Context-Independent Sampling Framework for Questionnaire-Based Evaluation
  Prabhash Rathnayake, Judd D. Bradbury, Rosanna E Guadagno, Rodrigo Ortega-Casellas, Ella Peltonen
• Between Ethics and Law: A Socio-Technical Assessment of LLM Responses Against Article 5 of the EU AI Act
  Deborah E. Bazuaye, Rosanna E. Guadagno, Sami Pohjolainen
• Responsibility and Ethical Practices in AI-Assisted Software Development
  Alvin Wijaya, Timo Poranen, Zheying Zhang
• Prioritizing Persona Attributes and Organizational Barriers in Cybersecurity Awareness: An AHP Analysis
  Daria Levaniuk, Bilal Naqvi, Antti Knutas

Session 2

• Feasibility, Retention and User Experience in a Behavior Change Support System for Digital Addictions
  Hasan Selkan Taskan, Fedja Poikonen, Harri Oinas-Kukkonen
• Beyond Efficacy: A Multi-Stakeholder Study of Deployment Constraints in Immersive Digital Therapeutics for Adolescents with ADHD
  Lakshmi Mampatta, Sameera Bandaranayake, Pasi Karppinen
• Stage-Specific Survival Prediction in Gastrointestinal Cancers Using Explainable Machine Learning on SEER Data
  Parisa Poorhasani, Bogdan Iancu
• PHRED: An Agentic Framework for Pharmacy-Counseling by Health Retrieval & Evidence-Driven Dialogue
  Prashani Jayasingha Arachchige, Bogdan Iancu, Malin Andtfolk, Sara Rosenberg, Mattias Wingren, Johan Lilius

Session 3

• Human and Organizational Values in Agile Software Development: A Case Study
  Kseniia Suomalainen, Mohammad Rijal, Leticia Duboc, Jari Porras, Xavier Albaladejo, Merri Herrera, Xavier Belloso
• From Regulatory Constraints to Continuous Assurance: The Constraint-Practice-Evidence Framework for Regulated Agile-DevOps Environment
  Sumaiya Tabassum Antara, Kari Smolander
• Improving Static Code Analysis Using a Consensus-Based Multi-LLM
  Augustinas Labutis, Jonas Čeponis, Šarūnas Grigaliūnas, Rasa Brūzgienė
• Large-Scale Mobile Application Classification Using Large Language Models: A Design Science Study in SportsHCI
  Juhani J. M. Karjalainen, Marko I. M. E. Moilanen

Session 4

• PsFiT: A GPU-Accelerated Distributed Framework for Scalable Sparse Machine Learning
  Alireza Olama, Andreas Lundell, Jan Kronqvist, Elham Ahmadi, Jerker Björkqvist
• Entropy-Regularized Probabilistic Gates for Sparse Model Discovery in Scarce-Data Federated Learning
  Krishna Harsha Kovelakuntla Huthasana, Alireza Olama, Andreas Lundell
• Beyond Access: Rethinking Mobile Application Use Under Variable Connectivity Through a Multi-Layer Framework
  Sameera Bandaranayake, Pasi Karppinen, Tanja Suomalainen
• Powering the Future of Games: A Scoping Review of Generative AI’s Role in Game Development Life Cycle (2020–2024)
  Anthony Korsah, Juho Mattila, Sameera Bandaranayake, Prabhash Rathnayake, Pasi Karppinen, Iikka Paajala