HIIT Quantum Software Day in Helsinki on 3.2.2023

We are arranging the 1st HIIT Quantum Software Day in Helsinki on 3.2.2023 to get together people interested in quantum software, algorithms, and applications. The program is aimed to cover both basics from a CS perspective, examples of ongoing research, and discussion/networking of future opportunities.
Further information and registration here: https://www.hiit.fi/event/hiit-quantum-software-day/
We would appreciate it if you forwarded this message to other interested persons in your neighborhoods and networks.

Agility—Yes, But What Agility?

Over the past few years, software companies and software-intensive product development organizations have experienced turbulent changes in their business and operating environments. Furthermore, such current courses as large-scale digital transformations, data/AI technology developments and green transitions are likely to call for strong and sustainable capabilities for even enterprise-level agility.

In the annual (since 2018) Nordic Agile Survey industry-academia collaborative research, we have been investigating the current nature of agility in industry. The survey is again open for responding. What agility means and entails for Your company/organization nowadays—and in the future? Think about that, and reply to the survey here!


Check out our latest AI/ML-systems and quantum computing results for FCAI AI day.

ESE group will present the recent research results in FCAI day on November 16, 2022. See the following contributions that will be there:


  • Lalli Myllyaho, Jukka K. Nurminen and Tommi Mikkonen: Node co-activations as a means of error detection—Towards fault-tolerant neural networks
  • Kai-Kristian Kemell and Ville Vakkuri: ECCOLA – A method for implementing ethically aligned AI systems


  • Ilmo Salmenperä and Jukka K. Nurminen: Hyperparameter Optimization of Quantum Annealing Boosted Restricted Boltzmann Machines
  • Juha Mylläri: Augmenting the Student-Teacher Feature Pyramid Matching Method for Better Unsupervised Anomaly Localization
  • Juhani Kivimäki: Uncertainty Estimation with Calibrated Confidence Scores
  • Jussi Steenari, Lucy Ellen Lwakatare, Jukka K. Nurminen, Jaakko Talonen and Teemu Manderbacka: Mining port operation information from AIS data
  • Yumo Luo, Mikko Raatikainen, Lalli Myllyaho and Jukka K. Nurminen: From Misbehaviour and Fault Tolerance in ML system towards dependable and self-improving MLOps (edited) 


The final seminar of the AIGA (AI governance) project 13.10.2022 Online&Turku

Artificial Intelligence Governance and Auditing (AIGA) project, which ESE is a participant, will have its Final Seminar. We will present the key results of the project. We will also host more general discussions about the latest developments around responsible AI. Both researchers and industry representatives will share their views in the open seminar, and the program ends with an informal networking event.

The final seminar will take place on 13.10.2022 at the Turku School of Economics. A live stream is provided for remote participation. Please make sure to register before 5.10. (16:00).

For further information, please visit our event website: https://ai-governance.eu/final-seminar/

Register as a participant: https://konsta.utu.fi/Default.aspx?tabid=88&tap=13197

Testing of AI or Testing with AI – Poster Session of IVVES ITEA project Sep 13th at 9-11 at the University of Helsinki Main building

IVVES https://ivves.eu/ is one of the major machine learning engineering projects we are running. Come and see the key results of the project. No registration, just walk into the University of Helsinki main building (Unioninkatu 34), grab a cup of coffee, walk around, and chat with the experts presenting the posters.

Further details here: IVVES_Poster_Session_Invitation

New IST publication: Undulate: A framework for data-driven software engineering enabling soft computing

To see the paper (open access): https://doi.org/10.1016/j.infsof.2022.107039


  • We constructed Undulate, a novel framework for systematically collecting data from software and business processes, storing the data in a dimensional database, thus creating a basis for data-driven software engineering.
  • We defined the general principles of how soft computing can be used to exercise automated control on and provide decision support for software engineering processes, such as continuous experimentation.
  • We extended and applied a multilevel modelling language to define key concepts in software experimentation to provide a scientifically rigorous conceptual basis for the Undulate framework.


Context. Especially web-facing software systems enable the collection of usage data at a massive scale. At the same time, the scale and scope of software processes have grown substantively. Automated tools are needed to increase the speed and quality of controlling software processes. The usage data has great potential as a driver for software processes. However, research still lacks constructs for collecting, refining and utilising usage data in controlling software processes.

Objective. The objective of this paper is to introduce a framework for data-driven software engineering. The Undulate framework covers generating, collecting and utilising usage data from software processes and business processes supported by the software produced. In addition, we define the concepts and process of extreme continuous experimentation as an exemplar of a software engineering process.

Method. We derive requirements for the framework from the research literature, with a focus on papers inspired by practical problems. In addition, we apply a multilevel modelling language to describe the concepts related to extreme continuous experimentation.

Results. We introduce the Undulate framework and give requirements and provide an overview of the processes of collecting usage data, augmenting it with additional dimensional data, aggregating the data along the dimensions and computing different metrics based on the data and other metrics.

Conclusions. The paper represents significant steps inspired by previous research and practical insight towards standardised processes for data-driven software engineering, enabling the application of soft computing and other methods based on artificial intelligence.

Quantum software development is growing

Quantum computing is a hot topic. The big question is how do we map real-life problems to quantum computers. A new kind of thinking is needed for the creation of quantum software. A successful approach by one of our doctoral researchers Valter Uotila

We would be welcome new industrial use cases or challenges.