Software Center

Steering committee meeting
2025-12-15 09:30 - 12:00 (Europe/Stockholm) | Virtual meeting, Sweden

AI output evaluation: cross-company workshop
2026-01-14 13:00 - 17:00 | Ericsson, Linkoping, Datalinjen 3, Linköping, Sweden
Dear Software Center members,
You are invited to a cross-company workshop on AI output evaluation.
We are all busy thinking about or already applying AI assistants and agentic AI workflows to improve and automate every applicable process in our companies. But how do we know if it’s good enough? Which AI model works best? How to compare them, how to choose? How to monitor and control the quality over time? This is a fundamental problem for any application of AI in processes, and what often keeps us from maturing from prototypes to production.
In this workshop we invite you to:

Share your experiences, challenges and solutions
Learn from Chi Xiao about current state of the art in practically evaluating AI performance
Together identify and discuss top opportunities, challenges and topics of interest

Chi Xiao is a developer at Ericsson who specializes in requirements engineering and the application of AI in that field. She recently published at ICSE 2025 on UML Sequence Diagram Generation using AI.
You are welcome attend in person at Ericsson in Linköping, Datalinjen 3, or via Teams.
Please forward to anyone in your organization to whom this may be of interest, and RSVP to this invite by Jan 7 so that we may gauge interest and plan accordingly.
Best regards,
Daniel Ståhl, Chi Xiao and Jan Bosch

Coordination team meeting
2026-01-19 11:00 - 12:00, 2026-02-16 11:00 - 12:00, 2026-05-11 11:00 - 12:00, 2026-06-15 09:00 - 09:30 | Virtual meeting, Sweden

Swiss-Swedish Innovation Initiative event 2026
2026-02-04
SWII in partnership with Germany & Austria: Transformational Technologies for Resilient Industries & Societies
Thematic focus 2026: digitalisation, AI, machine learning, and quantum technologies
The conference will take place in Switzerland.
Date and more details will be available within soon.

SC workshop Non-functional quality of LLM-generated code
2026-02-23 09:00 - 11:00 | MS Teams
Dear Software Center members,
We invite you to a follow-up workshop on quality assurance of LLM-generated code, with a particular focus on Non-Functional Quality Characteristics (NFQCs).
Agenda:
9:00 – 9:15       Welcome and Introduction
9:15 – 9:45       Xin Sun presents the results of the non-functional quality characteristics in generated code
9:45 – 9:55       Vasili Mankevich gives an overview of project 69: Work Activities leveraging AI in Software Engineering
9:55 – 10:00      Short break
10:00 – 10:30     Discussion, and feedback on practical experience, challenges, and opportunities
10:30 – 10:50     Future roadmap and Open discussion
10:50 – 11:00     Summary and closing
In last year’s workshop, we discussed concerns and experiences about NFQC issues in LLM-generated code, explored practical challenges observed in real development settings, and considered possible solutions. Questions such as which NFQC to prioritize, how to evaluate them in practice, and the possible trade-offs among these NFQCs were central to that discussion. Building on this, we conducted an empirical study of Security, Maintainability, and Performance (time and memory) using three common LLMs.
During the workshop, we will:

Present findings from our empirical study on NFQC trade-offs in LLM-generated code, highlight patterns across models and tasks, and introduce new ideas for agent-based automated refactoring.
Discuss how our observations relate to your systems and workflows, and how similar issues have been addressed.
Identify key opportunities, open challenges and practical insights that can guide future research and prototype tool development.

We would be delighted if you could join us and contribute to the discussion. Feel free to invite more colleagues; participating in the first workshop is not required.
This is a Software Center internal event and the common NDA applies. Project number: 61.
The workshop will be recorded for use by the undersigned researchers only.
Welcome!
Kristian Sandahl, Xin Sun, Daniel Ståhl, and Christoph Kessler
For a calendar invite with a MS Teams link, send a mail to kristian.sandahl@liu.se

Future of SE - Autoevolving systems
2026-03-03 08:00 - 17:00 | Linköping University, Linköping University, Linköping, Östergötland, 581 83, Sweden
We invite you to a cross-company workshop on the Future of SE – Autoevolving systems.

As you have observed, multi-agentic AI is gaining a lot of popularity in software engineering. Claude Code, Codex, Gemini seem to excel in many software engineering tasks. At the same time, some of these tools are very independent – Codex, for example, is constantly improved by Codex itself.

So, together with colleagues from Lund (Emma Söderberg) and Linköping (Daniel Varro), we organize a cross-company workshop to discuss the future of such systems. We are interested in the following:

How applicable are the concepts of autoevolving systems in your company?

If this becomes a reality, what would it take for your company to adopt it?

Agentic AI: Where are you on the topic – how much of it is used today?

How much do you think you will adopt?

In return, we will present our scientific vision of such systems. We will go beyond the hype and show what evidence of such systems exist today, break it down into challenges and discuss what this means for us.

Agenda for the day:
10.00 – 10.30: Introduction to Autoevolving systems, a research/scientific perspective
10.30 – 12.00: Company presentations (questions above)
12.00 – 13.00: Lunch
13.00 – 14.45: Multimeter-guided discussion and brainstorming
14.45 – 15.00: Sum-up and closing

Workshop on superset platforms
2026-03-04 09:00 - 12:00 | Lindholmen, building Jupiter, room 520, Hörselgången 5, Göteborg, 41756, Sweden
We wish to invite you and your colleagues to a cross-company workshop on the topic of superset platforms. The topic is explored as one of the research activities in project 9 (‘Strategic Ecosystem Driven R&D Management’) and it is a central principle of RADICAL/AI.
The cross-company workshop is planned for March 4th between 09:00 – 12:00 at Lindholmen in Gothenburg. For those who cannot travel we can provide a link when closer to the event. However, we encourage on-site participation if at all possible.
Background:
Most organizations fall into one of three broad categories: project-centric, product-centric, or platform-centric. Project-centric companies organize everything as a project. Whether they are developing a product, adapting it for a specific customer, or rolling out a new capability, the dominant mental model is the same: a clearly defined start and end date, a fixed budget, a predefined scope and a temporary team that disbands once the work is “done.” Product-centric companies represent a step forward. Here, the primary unit of organization is the product rather than the project. Each product typically has its own dedicated team, roadmap, budget and commercial goals. Products evolve over time through successive releases and there is usually a stronger sense of ownership and accountability than in project-centric organizations. Platform-centric companies take a different perspective. Instead of treating each product as an independent entity, they invest in a shared platform that provides common capabilities across multiple offerings. Product teams build on top of this platform, adding product-specific functionality while benefiting from shared infrastructure, data, and architectural decisions.
A superset platform, however, assumes that the full superset of all functions and features across all current and future products is generated from a single, coherent platform. In this model, individual products are no longer built as largely separate artifacts. Instead, each product is effectively a configuration of the platform: one specific instance chosen from thousands or even millions of possible combinations. The “product” becomes a particular selection of features, parameters, behaviors and constraints rather than a separate codebase or architecture.
More information can be found here:
https://janbosch.com/blog/index.php/2026/01/19/toward-superset-platforms/
In this workshop, we wish to explore the concept of a superset platform and how such an approach can help companies accelerate learning loops within their systems. Instead of viewing subsystems and components as static entities that occasionally are replaced with the next static version of the component, we need to transition to think in terms of a continuously evolving system where the capabilities are improving through learning loops. For this to happen, we believe that a superset platform approach is critical.
Key questions to explore include:

How does one deal with customization for specific customers while maintaining a superset platform?
What are effective ways to deal with the configuration process?
How can we generate all the surrounding artefacts such as documentation, test case selection, regulatory compliance documentation, etc. as part of the configuration process?
How do we ensure that the data coming back from the field can be combined as it comes from different customers and different releases?
How do we use this data for automated learning loops using federated learning and for continuous learning by R&D teams?

The workshop will include both company presentations and time for discussion. We ask all participating companies to prepare a short (10-15 minutes) presentation in which you outline:

What is your current approach and what are the key drivers for moving towards a superset platform approach?
What are the key challenges you will have to solve to move to a superset platform approach?
What are the actions to take and how can we support you in this?

The company presentations will work as the basis for discussion and as a foundation for knowledge exchange between the participating companies.
To register for the workshop please send an e-mail to helena.holmstrom.olsson@mau.se
Most welcome and we hope to see you on March 4th!
Also, please help us share this invite in your organization!
Kind regards,
Helena and Jan

Auto-evolving systems: Future of Software Engineering
2026-03-13 10:00 - 15:00 | A Working Lab (AWL), Sven Hultins plats 5, Gothenburg, 41258, Sweden
A cross-company workshop on the Future of SE:
As you have observed, multi-agentic AI is gaining a lot of popularity in software engineering. Claude Code, Codex, Gemini seem to excel in many software engineering tasks. At the same time, some of these tools are very independent – Codex, for example, is constantly improved by Codex itself.
Together, the competence centers CoDiG and NextG2Com, organize a cross-company workshop to discuss the future of such systems. We are interested in the following:

How applicable are the concepts of autoevolving systems in your company?
If this becomes a reality, what would it take for your company to adopt it?
Agentic AI: Where are you on the topic – how much of it is used today? How much do you think you will adopt?

In return, we will present our scientific vision of such systems. We will go beyond the hype and show what evidence of such systems exist today, break it down into challenges and discuss what this means for us.
Agenda for the day:

10.00 – 10.30: Introduction to Autoevolving systems, a research/scientific perspective
10.30 – 12.00: Company presentations (questions above)
12.00 – 13.00: Lunch
13.00 – 14.45: Multimeter-guided discussion and brainstorming
14.45 – 15.00: Sum-up and closing

Looking forward to see you!

Coordination team meeting
2026-03-16 09:00 - 09:30, 2026-03-30 09:00 - 09:30

Show-and-tell: Agentic Development
2026-03-18 13:00 - 14:00 | Virtual meeting, Sweden
AI show-and-tell: Agentic Development @ Bosch R&D Center Lund
Abstract:
It is clear that multi-agent approach is a paradigm shift for software and AI development. Bosch is and have done a few years a transformation towards new ways of working to embrace this paradigm shift with the target to become an AI native organization. This presentation will describe on a high level the iterative transformation approach and some of the lessons learned.
Presenter:
Robert Lagerstedt has 30 years of experience in leading software and ai development both from fast growing companies with 100 developers to large multinational corporations with 3000+ developers. Robert is also active in research and is the author of the books “Software Management – System & Architecture” and “Embedded AIoT Architecture Handbook”.
Robert has the last 10 years been active in building a new Bosch R&D Center in Lund and is currently responsible for technology and engineering excellence.

Auto-evolving systems: Future of Software Engineering
2026-03-20 10:00 - 15:00 | Lund university, Lund, Sweden

Mid-sprint steering committee meeting
2026-03-30 09:30 - 12:00 | Virtual meeting, Sweden

Show & tell: AI for Testing: From Proof of Concept to Productification & PoC to Failures
2026-04-10 13:00 - 14:00 | Virtual meeting, Sweden
In this session, we’ll take an engaging journey through real-world lessons learned while bridging the gap between AI-powered testing prototypes and robust, production-ready solutions. I’ll discuss the practical challenges that arise when moving from proof of concept (PoC) to full productification, including the hurdles faced and some failed PoCs that provided invaluable insights. We’ll dive into topics such as strategic test case selection, tackling the notorious challenge of flaky tests, automated test case generation, and fault classification using AI. The talk will also explore how an AI data lake can accelerate testing workflows. Demos will bring these concepts to life, showcasing automation in action and demonstrating how these innovations are shaping the future of software testing.

Show & tell: Ericsson
2026-04-10 13:00 - 14:00 | Virtual meeting, Sweden
This spring, we are excited with a series of online events where companies present their experiences of AI.

On April the 3rd, we have Azeem Ahmad from Ericsson Linköping, who will present their experiences with AI.

Grundfos AI Day
2026-04-16 - 2026-04-17 | Grundfos, Bjerringbro, Denmark, Denmark

Quality assurance for machine-learning programs and notebooks
2026-04-24 09:00 - 11:00 | MS Teams
We are pleased to invite you to an open workshop presenting our ongoing research project, conducted in collaboration with WASP, on quality assurance for machine-learning (ML) programs and notebooks.
Machine-learning software differs fundamentally from traditional software in development practices, organizational roles, and strong dependency on training data. However, software quality assurance (QA) aiming to ensure robustness, maintainability, and functional correctness is much less established than those for engineering traditional software.
In this project, we explore how static analysis can be enhanced by (i) leveraging run-time information available in notebooks, and (ii) exploring and evaluating algorithmic choices and data-processing steps in ML pipelines with (aggregated) properties of the datasets used for training and evaluation.
We will showcase (1) a public benchmark of typical ML-notebook failures with verified fixes, (2) crash predictor for ML notebooks using large language models (LLMs), and (3) a data-aware static analyzer tool for detecting silent bugs caused by mismatches between datasets and pipeline operations.
The workshop will include:
– Presentation of project goals and key findings
– Demonstration of the prototype tools in action
– Discussion of future research directions and industrial challenges and needs
This is an open workshop; the Software Center NDA does not apply.

Show & tell: Compliance with Standards — An Agentic Approach
2026-04-29 13:00 - 14:00 | Virtual meeting, Sweden
Compliance with Standards — An Agentic Approach
This presentation argues that ensuring product compliance with large standards organizations becomes unmanageable when handled manually,
due to the sheer scale of standards and their heterogeneous formats, while simultaneously demanding rigorous traceability, coverage, and compliance.
To address this challenge, we introduce an AI-assisted, agentic workflow that treats standards as a searchable corpus and applies a structured pipeline to support requirements engineering at scale.
Two methods are presented: a standards-to-coverage approach, which narrows the relevant standard scope, summarizes key content, and flags gaps; and a requirements extraction approach, which identifies and surfaces candidate requirements for validation.

Cross-company workshop: Superset platforms III
2026-05-05 13:00 - 16:00 | EDIT Jupiter 473, Hörselgången 5, Hörselgången 5, Gothenburg
At the previous workshop on superset platforms (organised on April 1st), we agreed to run a 3rd workshop as everyone was interested in going more in-depth and discuss the topic further.

This invite is a placeholder for this upcoming workshop so that you have the date in your calendars. We will update this invite with details on the agenda and the specific topics for discussion.

Please note that date and time and hopefully we will see you on May 5th (13:00 – 16:00)!

As always, we can provide a link to those of you who cannot travel.

Kind regards,
Helena and Jan

Show & tell: Trafikverket
2026-05-15 13:00 - 14:00 | Virtual meeting, Sweden
Software Center AI Show-and-tell: Speaker Hannes Salin, Trafikverket

Lic presentation: Technical Strategy Evolution from Cl/CD to LLM-Assisted Agentic Pipelines
2026-05-21 09:00 - 12:00 | Lindholmen, building Jupiter, room 520, Hörselgången 5, Göteborg, 41756, Sweden
Background: As software systems grow in size and complexity, traditional Continuous Integration and Continuous Deployment/Delivery (CI/CD) pipelines face significant efficiency bottlenecks. Although researchers have begun using Large Language Models (LLMs) to optimize pipeline tasks, these intelligent agents are rarely integrated directly into pipeline control flows or gating decisions. This disconnection stems from a focus on agent design at the expense of understanding internal pipeline dynamics and structural constraints, limiting practical efficiency gains.
Objective: The goal of this thesis is to investigate how LLM-based agents can be integrated into industrial CI/CD deployment pipelines in ways that improve pipeline efficiency while remaining compatible with pipeline structure, governance, and high-assurance requirements.
Method: This research employs a multi-phase, mixed-methods approach across five appended papers. The methodology includes (1) computational experiments using open datasets to probe the latent representations of LLMs; (2) experimental study to design a multi-modal, LLM-supported retrieval systems in industrial settings; and (3) mixed-method case studies involving ten companies to analyze CI/CD failures and optimization strategies, and (4) qualitative study exploring the socio-technical challenges of AI adoption in safety-critical and embedded software domains.
Findings: The results indicate that, for the adoption of LLM-based agents in industrial CI/CD, the pre-merge stage emerges as the most practical point of integration, since it is both a major source of efficiency bottlenecks and a stage at which multiple artifacts are available for analysis. When analyzing these artifacts, only trillion-parameter scale models are close to realizing literate programming and achieving a high degree of semantic alignment across different artifacts. In settings where such computational resources are unavailable, performance can be augmented by deliberate orchestration of smaller models, supplemented by techniques such as data augmentation and prompt optimization. Overall, given the constraints imposed by pipeline feedback latency and quality assurance requirements, LLM-based agents are better deployed as constrained, human-supervised components than as standalone solutions.
Conclusions: The findings of this thesis point to a realistic evolutionary path in the form of the LLM-assisted agentic pipeline: a constrained integration framework in which LLM-based agents, traditional tools, and human actors collaborate within explicit control flow, artifact handoffs, and gating mechanisms. Under these conditions, LLM-based agents can improve pipeline efficiency without weakening reliability and traceability.
Link to full text version in GUPEA

Show & tell: Grundfos
2026-05-27 13:00 - 14:00 | Virtual meeting, Sweden
Dear Colleagues,

We finish this academic year’s show-and-tell with a presentation from Achutan who has created a fantastic AI tool at Grundfos.

Deadline for new project proposals
2026-05-29 18:00 - 23:55 | Virtual meeting, Sweden

Deadline Sprint 31 project proposals
2026-06-05 18:00 - 23:55 | Virtual meeting, Sweden

Reporting workshop in Lund
2026-06-10 09:00 - 15:30 | Axis Communications, Lund, Grenden 1, 223 69 Lund, Lund
In Software Center, companies and universities work together to accelerate the adoption of novel approaches to software engineering. The reporting workshop takes place twice a year, in June and December.
This event aims at sharing results from research and cooperation within Software Center, including activities in the competence center CoDig, hosted by Software Center.
The agenda for the reporting workshop ranges from keynote presentations to in-depth sessions for themes and projects. The cooperation between academia and companies in Software Center creates the software engineering success stories that industry needs.
Registration:
Last registration date: June 1st
Please register at this link: https://forms.gle/TrTFUbBFFuQcKz7V8
Place and directions:
On June 10th the Software Center Reporting workshop will be hosted by Axis Communications in Lund. Directions >>

Agenda:
08:30 – 09:00 Registration and coffee
09:00 – 09:10: Opening (Helena and Vangel)
09:10 – 09:30: Software Center and the Awesome AI-driven Future for Software Engineering (Jan Bosch)
09:30-10:15: From the past to the future of Software Center: Industrial keynote presentation by Baldvin Gislason Bern, Axis Communications
What has it been like to be part of Software Center for over a decade? And where will we be a decade from now? Baldvin Gislason Bern will share his experiences from Axis in Software Center, from the early days of Stairways to Heaven and look into the future where we might be heading.
10:15 – 10:45: Theme updates (Kristian, Jan C, Miroslaw and Helena)
10:45 – 11:00: Systems Engineering community update: Magnus Timmerby, Tetra Pak
11:00 – 11:45 Poster and mingle session
11:45 – 12:30: Lunch (while continuing with the poster and mingle session)
12:30 – 12:45: External funding initiatives (Malin Rosqvist)
12:45 – 13:15: Company presentation: Advenica
13:15 – 14:30: Breakout sessions (including coffee)

Track 1: Software Quality Assurance with or without Human Involvement
Track 2: Miroslaw Staron, University of Gothenburg
Track 3: Helena Holmström Olsson, Malmö University

Breakout track 1: Software Quality Assurance with or without Human Involvement
Organizers: Kristian Sandahl, Dániel Varró, Jan Carlson
13:15-13:35: Biases on Software Reviews in Testing
Speaker: Jean Malm, MDU
Reviews and testing are quality practices shaped by both human judgment and the use of automated tools. Based on survey results, interviews and experiment findings, this talk explores how different factors can influence what reviewers and test practitioners do. We discuss how reviews are widely valued despite variations in practices and how making bias visible can potentially help teams improve both review and testing practices.
13:35-13:55: Quality Assurance for ML Notebooks
Speaker: Willem Meijer, LiU
Machine-learning software differs fundamentally from traditional software in development practices, organizational roles, and strong dependency on training data. However, software quality assurance (QA) aiming to ensure robustness, maintainability, and functional correctness is much less established than those for engineering traditional software.
In this project, we explore how static analysis can be enhanced by (i) leveraging run-time information available in notebooks, and (ii) exploring and evaluating algorithmic choices and data-processing steps in ML pipelines with (aggregated) properties of the datasets used for training and evaluation.
14:05-14:25: A Replicated Investigation on the Non-functional Quality Characteristics of LLM-generated Code
Speaker: Kristian Sandahl, LiU
To obtain a more complete understanding of model capability in software engineering tasks, this study investigates the non-functional quality of patches generated by different generations of LLMs on the SWE-bench Lite. The goal is to examine whether improvements in functional correctness are accompanied by improvements in engineering quality. Specifically, we apply different static analysis tools to functionally correct patches to identify potential non-functional quality issues. We also use aggregate quality indicators to assess how these patches affect the code health of the target files. In addition, we monitor the execution time and peak memory usage of the benchmark test suites after applying each patch, and use these measurements as proxy indicators of dynamic performance.
14:30 – 15:15: From Data to Trustworthy Autonomy, Engineering the Next Generation of AI-Driven Systems
Closing keynote by Sahar Tavili, Head of Verification & Validation for Autonomous Systems at Einride and Docent (Associate Professor) in AI Industrial Systems at Mälardalen University

As artificial intelligence becomes deeply embedded in industrial and safety-critical systems, the central challenge is no longer model performance alone, but the ability to engineer trustworthy, adaptive, and governable AI-driven systems at scale. This talk provides a forward-looking perspective on how leading organizations are transitioning from fragmented data initiatives to end-to-end AI-enabled decision systems. Drawing on industrial experience in autonomous transport and large-scale software systems, Sahar Tahvili outlines how data, machine learning, and software engineering must converge to deliver robust, auditable, and continuously improving systems. The talk highlights key enablers for the next generation of AI systems, including continuous verification and validation, uncertainty-aware decision-making, human-in-the-loop governance, and regulatory alignment. It further explores how organizations can operationalize AI in complex environments while maintaining safety, compliance, and trust.

15:15 – 15:30: Closing and goodbye!

Speakers:

Baldvin Gislason Bern, Axis Communications
Baldvin Gislason Bern is an Expert Engineer at Axis Communications, where his current focus is software compliance. Baldvin’s career spans over 20 years and includes international API standards, secure development practices and large scale embedded software development.

Sahar Tavili, Einride
Sahar Tahvili, PhD is Head of Verification & Validation for Autonomous Systems at Einride and a Docent (Associate Professor) in AI Industrial Systems t Mälardalen University. She brings extensive experience in leading AI-driven transformation across industrial and safety-critical domains. Prior to Einride, she worked at Ericsson, where she developed patented solutions for energy optimization in cloud-native telecom infrastructures currently deployed in production. Her work focuses on trustworthy AI, autonomous systems, and scalable AI-driven quality control, with a strong emphasis on bridging cutting-edge research and real-world deployment. Sahar is the author of an industry-recognized book on software testing and AI optimization, published by Elsevier, and serves as a guest editor and keynote speaker at leading international conferences. Her research and leadership focus on enabling safe, auditable, and high-performance AI systems in complex industrial environments.

Reporting workshop in Gothenburg
2026-06-11 10:00 - 17:00 | A Working Lab (AWL), Sven Hultins plats 5, Gothenburg, 41258, Sweden
In Software Center, companies and universities work together to accelerate the adoption of novel approaches to software engineering. The reporting workshop takes place twice a year, in June and December.
This event aims at sharing results from research and cooperation within Software Center, including activities in the competence center CoDig, hosted by Software Center.
The agenda for the reporting workshop ranges from keynote presentations to in-depth sessions for themes and projects. The cooperation between academia and companies in Software Center creates the software engineering success stories that industry needs.
Registration:
Please register at this link: https://forms.gle/sCs7V1g4uih5Zxhu5
Agenda:
09.30 – 10.00: Registration and coffee
10:00 – 10:30: Opening: Jan Bosch
10:30 – 11:00: Industrial keynote presentation by Henrik Green, General Manager Einride Autonomous Technology
11:00 – 11:30: Community updates and introduction to poster session:

Theme 1: Kristian Sandahl & Daniel Varro, Linköping university
Theme 2: Jan Carlson, Mälardalen University
Theme 3: Miroslaw Staron, University of Gothenburg
Theme 4: Helena Holmström Olsson, Malmö University

11.30 – 12.30: Poster & mingle session
12:30 – 13:15 Lunch break (lunch at own expense)
13:15 – 13.25: The growing Software Center project portfolio:

Continuous compliance: Jan Bosch
AutoEvolve – an introduction: Jan Bosch – Chalmers, Mikael Sjödin – Mälardalen University, and Per Runeson – Lund University

13:35 – 15.10: Parallel tracks (incl coffee break)

Theme 1: Kristian Sandahl & Daniel Varro, Linköping university
Theme 2: Jan Carlson, Mälardalen University
Theme 3: Miroslaw Staron, University of Gothenburg
Theme 4: Helena Holmström Olsson, Malmö University

15.15: Industrial keynote presentation by Martin Hiller, Solution Architect – Software & Electronics Platform at Volvo Cars
16.00: The future of Software Engineering: Presentation and fishbowl discussion
16.30 – 16:45 Plans, reflections & closing: Jan Bosch

Task force meeting for planning sprint 31
2026-06-12 10:00 - 12:00 | Virtual meeting, Sweden
