Software Center

Coordination team meeting
2025-03-17 09:00 - 09:30, 2025-02-10 11:00 - 12:00, 2025-01-15 11:00 - 12:00, 2024-12-16 09:00 - 09:30, 2024-11-11 11:00 - 12:00, 2024-10-14 09:00 - 09:30, 2024-09-23 11:00 - 12:00, 2024-08-19 11:00 - 12:00 (Europe/Stockholm) | Virtual meeting, Sweden

Coordination team strategy meeting
2025-03-13 13:00 - 2025-03-14 13:00 | Sweden
The meeting will take place in Gothenburg, venue to be decided.

ASKx Conference 2025 – AVEVA Select Knowledge Xchange
2025-03-11 09:00 - 17:00 | Malmö/Lund, Malmö, Sweden
ASKx Conference 2025 – Where Insights meet Impact!
Join us at the AVEVA Select KnowledgeXchange (ASKx) Conference 2025 in Malmö, Sweden, where industry leaders, visionaries, and innovators converge to shape the future of industrial software. This is your chance to gain practical insights, connect with over 300 peers and experts, and explore cutting-edge advancements that will propel your organization toward a sustainable future.

Get Agile – Empower your business with smart, industry-tailored software. From energy and infrastructure to manufacturing and beyond, we know your challenges and are ready to help you overcome them.

Expand Collaboration – Seamlessly connect and optimize with our secure, open solutions—on-site or in the cloud. Tap into the strength of our Scandinavian network of trusted partners and uncover new possibilities for scaling your operations.

Advance Sustainability – Drive meaningful change with trusted information and actionable insights. With a powerhouse team of 35 employees, 180 partners, and 250 certified developers and engineers across Scandinavia, we’re committed to helping you maximize resources responsibly.

Be Inspired – From transformative keynotes and product roadmaps to real-world customer success stories, ASKx Conference 2025 is designed to spark new ideas and empower action. Dive into how technologies like industrial cloud platforms, digital twins, and purpose-built AI are bridging the gap between insight and impact.

Whether you’re a seasoned AVEVA user or new to our portfolio, there’s something here for everyone. Let’s shape the future together and tackle today’s most pressing operational challenges. We can’t wait to welcome you. Together, let’s drive innovation, collaboration, and sustainability in the Nordic industry and infrastructure.

This event will be your opportunity to:

Learn how AVEVA helps customers to spark industrial ingenuity by turning insight into action and inspiring innovation
Attend presentations with AVEVA subject matter experts and industry leaders showcasing their expertise
View the latest industry trends and direction to help us prepare for the future
Meet with experts in the partner and product expo for more in-depth knowledge
Network with industry peers from Nordic manufacturing- and infrastructure organisations

Presentation by Jan Bosch:
Digitalization will destroy your company too
Digitalization, enabled by software, data and artificial intelligence, is fundamentally changing the value delivery process to customers. This has major implications for all aspects of companies, ranging from business models to certification. Based on experiences from more than a dozen large, global companies, this keynote discusses the challenges and presents the most promising avenues for addressing these.
https://avevaselect-bnlxscand.zohobackstage.eu/ASKxConference2025-MalmSweden#/?lang=en&sessionId=3504000034552002

Advanced digitalization - yearly conference
2025-01-23 | Sweden
The CoDig competence center will present at the yearly conference for the program Advanced digitalization.
Advanced digitalization is a program funded by Vinnova with program office at Teknikföretagen.
The conference is taking place at the Worlds of Volvo, in Gothenburg.
More details closer to the event.

PhD defense: Towards Continuous Development of MLOps Practices
2025-01-10 13:15 - 16:00 | Malmö University, Malmö, Sweden
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Candidate: Meenu Mary John, Malmö University
Venue: Hörsal C, Niagara, Malmö University
Opponent:
Dr. Marie Christin Platenius-Mohr, PhD, Research Team Manager, Automation and Software Architecture, ABB AG Corporate Research, Germany
Committee:
– Tommi Mikkonen, Professor of Software Engineering, Software and communications engineering, University of Jyväskylä, Finland
-Maria Paasivaara, Professor of Software Engineering, Software Engineering, Lappeenranta-Lahti University of Technology, Finland
– Stefan Biffl, Associate Professor of Software Engineering, Institute of Information Systems Engineering, Vienna University of Technology, Austria

Abstract:
Context: With digitalisation, companies that specialise in software-intensive embedded systems are transforming from a business reliant on hardware and products to a business that utilises software, data and AI (especially Machine Learning (ML) and Deep Learning (DL)). These technologies allow companies to extend their product offerings, develop new products or services, and create revenue opportunities. Despite the advancements, the majority of ML/DL deployments fail within companies. This highlights the need to optimise the end-to-end process of developing, deploying, and evolving ML/DL models, and a strong understanding and collaboration between researchers and practitioners in both the fields of ML/DL and Software Engineering.
Objective: The research focuses on two main themes:(a) Establishing systematic and structured frameworks for the development, deployment and evolution of models, and (b) Exploring how the evolving (changing) needs of software-intensive embedded systems companies utilising ML/DL technologies shape the MLOps (Machine Learning Operationalisation) practises they needed and measures its maturity over time. Based on the themes mentioned above, we have three primary objectives: (a) Identifying the need for MLOps, (b) Developing the frameworks for MLOps adoption, and (c) Standardising and measuring the MLOps practices.
Method: The research is conducted in collaboration with companies and employ various research approaches, including case study, action research and multi-vocal literature review. Also, we employ different techniques, including interviews and observations.
Results: First, it identifies the challenges faced and activities conducted by practitioners in companies when developing, deploying and evolving models. Second, it derives a conceptual framework that presents three parallel and concurrent activities that companies utilise when developing, deploying and evolving models. Third, it presents a framework based on current literature to accelerate the end-to-end deployment process and advance knowledge on integrating, deploying and operationalising ML/DL models. Fourth, it develops a generic framework with five architectural alternatives for deploying ML/DL models at the edge. Five, it explores how MLOps, as a practice, brings together data scientist teams and operations to ensure the continuous delivery and evolution of models. Sixth, it presents the MLOps framework, maps companies to the MLOps maturity model, and validates the MLOps framework and maturity model with other companies. It also presents critical trade-offs that practitioners made when adopting MLOps. Seventh, it presents an MLOps taxonomy that helps companies determine their maturity stage and provide tailored MLOps practices to advance.
Conclusion: The thesis shows well-structured approach to improve end-to end ML lifecycle. Through the research, we seek to enable and advance not only experts but also non-experts to effectively approach the development, deployment, and evolution of ML/DL models in the current embedded systems industry. This is relevant considering the shortage of highly skilled data scientists.

PhD defense: Advancing Edge Intelligence - Federated and Reinforcement Learning for Smarter Embedded Systems
2024-12-18 14:00 - 17:00 | EDIT Jupiter 473, Hörselgången 5, Hörselgången 5, Gothenburg
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Candidate: Hongyi Zhang
Venue: Jupiter 473, Chalmers University of Technology
Opponent:
Xavier Franch, Professor Informatics, UPC, Spain. https://www.upc.edu/gessi/personalpages/xfranch/
Committee:

Christian Kästner, Associate Professor of CS, CMU, USA.

Henry Muccini, Professor CS, University L’Aquila, Italy.

Luis Cruz, Assistant professor CS, TU Delft, Netherlands

Abstract:
Context: The rapid growth of embedded devices and edge computing has brought new opportunities for creating intelligent systems. However, these systems face challenges such as limited computational power and the need to protect user privacy. As a result, there is a need for machine learning methods that can scale effectively, maintain privacy, and adapt to changing conditions in embedded applications.

Objective: This thesis focuses on improving the performance of machine learning models in embedded systems by using federated learning and reinforcement learning. The main goal is to develop methods that allow edge devices to work together without sharing raw data, which helps maintain privacy. Another goal is to make these systems more adaptable to dynamic environments, so they can perform better under changing conditions. Additionally, the research seeks to improve the efficiency of communication and computation across devices.

Method: The research uses a mix of case studies, simulations and real-world experiments. Federated learning is applied to allow edge devices to train models without centralizing the data, keeping sensitive information local. Reinforcement learning is used to help devices learn how to make better decisions by interacting with their environment. These two methods is tested in different scenarios to evaluate improvements in model accuracy, resource use, and adaptability.

Results: The results of this thesis highlight significant advancements in federated learning (FL) and reinforcement learning (RL) for embedded systems. A comprehensive literature review identified six key challenges and open research questions in FL, emphasizing the need for efficient communication, scalability, and privacy preservation. Case studies in telecommunications and automotive applications demonstrated that FL, particularly with asynchronous aggregation protocols, improves model performance, reduces communication overhead, and speeds up training in real-time, dynamic environments. Novel algorithms, such as AF-DNDF and deep RL approaches, further enhanced decision-making capabilities and adaptability in applications like autonomous driving and UAV base station deployment for disaster scenarios. The development of frameworks like EdgeFL provided practical solutions to overcome FL’s implementation challenges, offering scalable, low-effort alternatives. Overall, the integration of FL and RL into embedded systems resulted in improved model accuracy, resource utilization, and adaptability, making these approaches highly suitable for real-world industrial use cases.

Conclusion: This research advances the field of edge intelligence by providing a practical approach to deploying machine learning models that are scalable, privacy-focused, and adaptive in embedded systems. The work demonstrates clear improvements in performance and offers a foundation for future research, which could explore more complex learning approaches and apply these techniques to a wider range of embedded systems.

Steering committee meeting
2024-12-16 09:30 - 12:00 | Chalmers, Lindholmen, Hörselgången 5, Gothenburg, 41756, Sweden

Task force meeting for planning sprint 28
2024-12-13 10:00 - 12:00 | Chalmers, Lindholmen, Hörselgången 5, Gothenburg, 41756, Sweden

Reporting workshop: The end of Software Engineering - as we know it
2024-12-12 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 day before the reporting workshop there is an additional interactive workshop where you have the opportunity to discuss technical challenges with the Software Center projects, more information here >>
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/HuqJJmjojqJszepc7
Link for virtual participation – all plenary sessions:
You can join the meeting over Teams, but the digital solution will not offer an opportunity to interact with speakers:
Link to the Teams townhall meeting >>

Dec 11th: Pre-reporting workshop mingle
We meet for an informal warming up for the reporting workshop (at own cost):
18.00 at OGBG Bar & Restaurang, Comfort Hotel, Skeppsbroplatsen 1411 21 Göteborg
Agenda:
09.30 – 10.00: Registration and coffee
10:00-10:15: Opening: Jan Bosch
10:15-10:45: Digital twins: keynote presentation by Mark van den Brand, Eindhoven University of Technology, Software Engineering and Technology
High-tech systems are becoming increasingly complex and more difficult to design, manufacture and maintain. The DIGITAL TWIN program develops methods to make accurate digital twins of these types of systems: virtual software versions that allow you to run simulations to predict, for example, how changes in the design affect performance, how control can be improved, or which part on which needs maintenance at the moment. Digital twins are still mostly based on static theoretical models that assume normal behavior. By linking these models to measurement data that indicate how the system actually functions and combining this data with artificial intelligence, the researchers make digital copies that continuously improve and adapt themselves. The research focuses on a number of exemplary systems provided by the Dutch high-tech companies involved in the program.
10.45-11.00: The impact of SDV and AI on Next-Generation Tier1 ADAS development
Company presentation by Tobias Aderum, Director Research & Innovation at Magna Electronics
Read more at: https://www.magna.com/products/electrical-electronics/adas-automated-driving
11:00-11:30: Community updates and introduction to poster session:

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

11.30 – 12.15: Poster & mingle session
12:15 – 13:00 Lunch break (lunch at own expense)
Recommended lunch restaurant: https://www.facebook.com/wastegbg/
13:00 – 13.40: The AI maturity journey: how to scale up value from data and AI in an organization:
Industrial keynote presentation by Anders Arpteg, Senior director, Head of AI and Data CoE, Global Connect group.

Many companies struggle to fully capture the value of data and AI, often finding themselves stuck in isolated AI initiatives without broader impact or even completely failing to take advantage of the possibilities. Unlocking value from AI is a journey, requiring a strategic approach to move from small-scale AI projects to a company-wide adoption that drives real transformation. The potential of data and data and AI is immense, but to climb the AI maturity scale and achieve meaningful results, organizations must have a well-defined strategy guiding their progress.
13.40-14.00: Software architecture and AI: presentation by Antonio Martini, University if Oslo
AI took the world by storm, fundamentally changing the way we architect traditional systems, but also the way we need to architect novel AI (sub)systems. For example, how do we integrate AI modules in traditional software with a long-term perspective, including maintainability and evolvability? How do we use AI to assess our architecture, for example its modularity or if there are performance anomalies? Do architects need to fundamentally evolve their role and competences?
14:00 – 16.00: Parallel tracks (incl coffee break)
1: Data: Dare to Dream (Room: the Studio, same as plenary)

Session organizers: Helena Holmström Olsson and Jan Bosch
Speakers: Ingmar Bengtsson, Volvo Group Truck Technology
Background: In our research on data practices, we see that people are often more focused on the constraints associated with data than exploring the opportunities that data can bring. In most situations, we want the data, we know it has value, but we don’t dare to fully use and exploit it due to e.g., regulations, ownership constraints, ways-of-working that are not well-established, costs associated with storage, processing etc., and lack of quality to mention a few.
Session focus: In this session, we look for ideas and discussions on: “What if there were no constraints? What if we didn’t have these challenges and uncertainties? What if we could not fail? If so, what are the things we would do with data?
Session format: The session is interactive in nature with a mix of presentations from research and industry, and with group discussions/exercises.

2. AI-supported digitalization – Quantum and generative AI (Room: Workshoprummet, 1st floor)
Link to online participation: Join the meeting now
MS Teams meeting ID: 341 402 358 630
passcode: [REDACTED]

Session organizer: Miroslaw Staron
Session focus: Quantum & Generative AI – how can we utilize quantum computing in software products? Are we ready for large-scale adoption yet? When will Quantum Computers be available like datacenters for AI?
Speakers:

Mikael Haglund & Henrik Sjöstrand, IBM Sweden
Pontus Vikstål, Mårten Skogh, Chalmers NextLabs
Petter Sutton, Boeing

3. The future of software and system modelling (Room: Wonderwoman)

Join the meeting now
Meeting ID: 393 818 596 770
Passcode: [REDACTED]

Session organizer: Jan Carlson, Mälardalen University, & Daniel Varro, Linköping University
Session focus: What is the role of models and modeling when building the software-intensive systems of the future? Should we still model? If so, what? And how much is enough? Can models still be a useful tool in AI-supported development, or is modeling becoming an outdated way of working?

16.00: The end of Software Engineering as we know it
Presentation and fishbowl discussion
16.45 – 17:00 Plans, reflections & closing: Jan Bosch

Speakers:

Mark van den Brand: professor of Software Engineering and Technology, Technical University of Eindhoven, the Netherlands

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Mark van den Brand is a full professor of Software Engineering and Technology in the Department of Mathematics and Computer Science, and a visiting professor at Royal Holloway, University of London. His current research activities are on model driven engineering, domain specific languages, meta-modeling, model management, digital twins, and automotive software engineering. His research is industry inspired; he works with most of the high-tech companies in the Eindhoven region, the Netherlands. He has been an invited lecturer and keynote speaker at various conferences, workshops and doctoral schools. He was and is member of PCs on workshops and conferences related to software engineering, language engineering, rewriting, reverse engineering, and software maintenance.
Mark initiated the special issues of Science of Computer Programming devoted to academic software development (Experimental Software and Toolkits), and since 2007 has been guest editor of six of these. He is on the editorial board of the journals Science of Computer Programming, Open Computer Science, and Computer Languages (COLA). He is Editor-in-Chief of the Journal on Automotive Software Engineering. He is associate Editor-in-Chief of the Software Section of the Science of Computer Programming. He is deputy Editor-in-Chief of platinum open access journal JOT.

Anders Arpteg: Senior director, Head of AI and Data CoE, Global Connect Group

Anders Arpteg is AI director, engineer, scientist, and investor with 25+ years of AI experience in both academia and industry, with a Ph.D. in AI from Linköping University, Sweden. Previously heading up research at Spotify, Peltarion, and data science at the Swedish Security Service, now heading up a Center of Excellence for AI and data at GlobalConnect.
Anders has also been part of starting up national AI initiatives such as AI Sweden and the Swedish AI Agenda, member of the European AI Alliance, AI reviewer for ICML, ICLR, JCP, and the Swedish innovation agency Vinnova, and host of the AI After Work podcast, and received awards such as Lifetime achievement in AI from the Nordic DAIR Awards in 2021.

Antonio Martini, Professor, University of Oslo

I am Professor at University of Oslo. My latest interests are on using AI for software engineering, specifically for technical debt and software architecture, and to improve software engineering practices for AI. In general, my research focus is on managing Technical Debt, Architecture, Technical Leadership, and Agile software development. I’m very keen to work with software companies and improve the state of art and practice together. My experience covers Software Engineering and Management in several contexts: large, embedded software companies, small, web companies, business to business companies, startups.
I’ve collaborated with several large companies such as Ericsson, Volvo, Saab, Axis, Grundfos, Siemens, Bosch, Jeppesen, Siemens, Visma, AKVA Group, Knowit, and more. I’ve also worked with my own company and I’ve run consultancy projects to manage and visualize Technical Debt. I’ve obtained a PhD in Software Engineering at Chalmers University of Technology, Sweden in 2015.

Technical workshop with Software Center projects
2024-12-11 13:00 - 17:00 | SVEA building, Lindholmen, Forskningsgången 4, Gothenburg, 41756, Sweden
In Software Center, companies and universities work together to accelerate the adoption of novel approaches to software engineering. This one-day technical workshop aims at sharing and discussing results from joint projects within Software Center. This event is for Software Center partners only.
Registration:
Please register at this link: https://forms.gle/HuqJJmjojqJszepc7
Choose your workshop track:
To be able to plan for the day we ask you to indicate which track you plan to attend, please choose you track for the workshop at this link: https://forms.gle/sgJKm2A5J5UWmtw58
The tracks:

Automation of Regulatory Compliance
Digital twins
Assurance & regulatory compliance, architecture and testing
Engineering Generative AI Software

Late registrations?
If you want to bring a colleague there is still room for more participants, registration here: https://forms.gle/HuqJJmjojqJszepc7

Date & time: December 12, 13:00 – 17:00
Place: SVEA, Forskningsgången 4, 417 56 Göteborg
Agenda: https://www.software-center.se/event/technical-ws/

Agenda:
12.30 – 13.00: Registration and coffee
13.00 – 13.15: Introduction: Jan Bosch (Room: SVEA 241)
13.15 – 14.45: Parallell workshop sessions:
Track 1: Automation of Regulatory Compliance (Room: SVEA 241)
Microsoft Teams Need help?
Join the meeting now
Meeting ID: 352 629 839 902
Passcode: [REDACTED]

The question we ask is: ‘What if you could have a “Regulatory Agent” and use artificial intelligence (AI) to help you satisfy regulatory compliance’? Such an agent could continuously track and monitor the system and help ensure that no inconsistencies are introduced.
To address this, and to explore effective ways to work with regulatory compliance, this session focuses on automation of tasks and processes necessary for regulatory compliance. What we seek to achieve is ways in which we can remove the human efforts that goes into these processes.
Agenda:
13:15 – 13:30: Welcome and introduction to the session (Jan and Helena)
13:30 – 13:50: How automation and CRA can work together
Presenter: Christian Nord, Senior Engineering Manager, Advenica
13:50 – 14:10: Do legal and engineering mix? – Using tools in the context of regulatory compliance: challenges and opportunities
Presenter: Liina Savolainen, EE Roadmap Leader at GTT (AB Volvo)
14:10 – 14:30: Automating Extraction of Information for a Compliance Argument based on the Textual Requirements System (TReqS)
Presenter: Eric Knauss (University of Gothenburg)
14:30 – 14:45: Master student presentation/pitch to Software Center companies
14:45 – 15:15 Coffee break
15:15 – 16:30: Discussion
15:15 – 16:10: Discussion

Identification of key themes
Breakout groups assigned to themes
Report out

16:10 – 16:30: Reflections and closing

Summary of key learnings
Agreement on next steps
Feedback (one thing you liked/wished for)
Closing

Background:
In recent discussions with representatives from the Software Center companies, many people have brought up the many new regulations that will, and are already, affecting the companies. As only a few examples, there is the Cybersecurity Act, GDPR, the Data Act, the AI Act and the Product Liability Act.
In a workshop earlier this sprint, we explored some of these new regulations and the challenges associated with how to strategically prepare for these and how to organize for complying with these. In these discussions, it became clear that currently, many companies are spending an enormous amount of resources and manual effort into the process of understanding, preparing, and organizing for regulatory compliance. The risk, as we see it, is that resources and efforts are spent on processes and tasks that will only increase in number and that, over time, R&D and innovation activities might suffer.
Session format:
The session is interactive in nature with a mix of presentations from research and industry, and with group discussions/exercises.
Session organizers: Helena Holmström Olsson and Jan Bosch
Track 2: Digital twins (Room: SVEA 240)
Background:
In recent discussions with representatives from the Software Center companies, several companies have indicated interest in more in-depth discussions and research-activities regarding digital twins.
Session focus:
The session will focus on identifying existing and missing technologies and competences that are needed to better utilize the concepts and ideas behind the digital-twin paradigm. We will look at questions like “How are different actors working with digital twins today?”, “How would we like to work with digital twins in the future?”, “What are the challenges you see to pursue such approach to system operation?”, “What are the technology gaps that need to be filled?”
Session format:
The session is interactive in nature with a mix of presentations from research and industry, and with group discussions.
Session goals:
Our goal is to identify how the Software Centre community could support advances in utilizing digital-twin technology at the partner companies. This could include need for Software Center research-project and/or other supporting activities such as seminars or development of courses.
Session organizers: Mikael Sjödin and Tiberiu Seceleanu
Track 3: Assurance & regulatory compliance, architecture and testing (Room: SVEA 228)
Chairs: Jan Carlson, Mälardalen University, Daniel Varro, Linköping university
Tentative link for online participation: Join the meeting
MS Teams Meeting ID: 342 545 598 082 Passcode: [REDACTED]
13.15 – 14.00 Assurance & regulatory compliance

Ontology-based representation for assurance and compliance (projects #49 & #50): Barbara Gallina

Towards Automated Multi-concern Assurance and Regulatory Compliance of Battery Management Systems (projects #49, #50 & #60): Barbara Gallina

14.00 – 14.45 Architecture

Communication and documentation of architectural changes (project #35): Ifrah Qaisar

Adopting the C4 model for visualizing software architecture (project #35): Robbert Jongeling

14.45 – 15.15 Coffee break
15.15 – 16.30 Testing

Use of Generative AI in test generation, optimization, and automation (project #63): Gregory Gay and Azeem Ahmad

Track 4: Engineering Generative AI Software – project presentations (Room: SVEA 215)
Chair: Miroslaw Staron, University of Gothenburg and Chalmers University of Technology
Link to online participation: Join the meeting now
MS Teams Meeting ID: 372 030 783 546 Passcode: [REDACTED]
Session format: Project presentations and discussions

13.15 – 13.45: Wilhelm Meding/Miroslaw Staron – requirements from standards

13.45 – 14.05: Simin Sun – preliminary survey on CI

14.05 – 14.25: Yi Peng – Data Challenges for Machine Learning Systems — Towards Data Requirements

14.25 – 14.45: Habib – Maintainability Definition and Measurement for ML System Components.
Coffee break

15.15 – 15.35: Nataliya Berbyuk Lindström – Stakeholder Information Needs

15.35 – 15.55: Nataliya Berbyuk Lindström – Generative AI

15.55 – 16:15: Srijita Basu – Automotive CWE analysis

16.15 – 16.30: Yiran Wang, Willem Meijer – Why ML code crashes and what we are going to do about it

14.45 – 15.15: Coffee & mingle
15.15 – 16.30: Parallell workshop sessions (continued)
16.30: Reflections in plenary: theme leaders
16.50 – 17.00: Summary and closing: Jan Bosch

December 11th: Post technical workshop & Pre-reporting workshop mingle
We meet for an informal warming up for the reporting workshop (at own cost):
18.00 at OGBG Bar & Restaurang, Comfort Hotel, Skeppsbroplatsen 1411 21 Göteborg
December 12th: Software center reporting workshop
The day after the technical workshop we are arranging the December Software Center reporting workshop where you have the opportunity to meet partners in Software Center, more information here: https://www.software-center.se/event/rws_dec2024/

Deadline sprint 28 project proposals
2024-12-06 14:00 - 16:00 | Sweden

Deadline for new project proposals
2024-11-29 14:00 - 16:00 | Sweden

Cross-Company Workshop on Trustworthy Test Automation
2024-11-26 13:00 - 15:30 | Mälardalen University, Västerås, Universitetsplan 1, Västerås, Västerås, Sweden
The TAHCTA Cross-Company Workshop on Trustworthy Test Automation will focus on exploring key challenges, such as test automation’s limitations and strategies for effectively deciding when and how to automate testing across companies. Topics will include the complexity of testing complex systems and the impact of cognitive and human factors on automation. We will also address biases and cultural differences in software testing, the integration of mutation testing into CI/CD pipelines, and the limitations of AI in test automation. The workshop will include results from the current sprint and will foster discussions on developing more human-centered and interactive test tools.
Event Address: ONLINE (through Teams) and in Västerås, Ypsilon (U2-020), Universitetsplan 1.
Preliminary agenda
Sign up here

Workshop on data practices
2024-11-15 10:30 - 15:00 | EDIT Jupiter 473, Hörselgången 5, Hörselgången 5, Gothenburg
Most welcome to a cross-company workshop on the topic of data collection, storage and processing!
Location:
The workshop will be on-site in Gothenburg, November 15th (10:30 – 15:00) and with the possibility to join online. If at all possible, we encourage on-site participation.
Background:
During the previous sprint, we worked together with four of the Software Center companies on how to reason about what data to collect, where to store this data, how to process and make use of it, and how to manage quality and access of data. Our aim was to provide a holistic understanding of the multiple dimensions that need to be considered when reasoning about business value versus cost of collecting, storing and processing large volumes of data. The main contribution in the paper is a data framework.
The aim with this workshop is to further explore best practices for data collection, storage and processing. We seek to provide companies with tangible guidance for how to reason about value versus cost of data, as well as strategies for how to avoid negative effects such as e.g., high costs, data dependency, and misinterpretation of data, that we see happen when data is collected and used in ways it was not intended for.
Registration
Register by sending an e-mail to helena.holmstrom.olsson@mau.se

Ontology-based representation for assurance and compliance
2024-11-12 10:00 - 11:00 | Virtual meeting, Sweden
In highly regulated industries, assurance and compliance management represent challenging activities. This is due to the need of navigating rapidly shifting requirements. Products may evolve rapidly creating a product line in time in addition to the one in space. Products and product variability are constrained by legislation, standards, etc. whose applicability may vary depending on the jurisdiction.
In this webinar, Barbara Gallina will briefly recall pieces of background information on the Semantic Web Technologies (RDF Graph, SHACL, SPARQL). Then, based on those technologies, she will propose an ontology-based representation for managing product variability in compliance with applicable legislations while assuring trust-related properties of interest. Specifically, she will provide the representation in Resource Description Framework (RDF), shaped via SHACL (Shapes Constraint Language) constraints, and queried via a set of SPARQL queries.
By the end of the seminar, the attendee is expected to gain a sufficient understanding for appreciating the potential of the proposed ontology-based representation.

Practical information about the webinar:

Time and date: 10:00 – 11:00, 2024-11-12
The webinar welcomes active participation.
The link to the webinar will be included in the confirmation email sent after registration.

The webinar builds on top of at least three papers and expands further:

B. Gallina, Peter Munk, Markus Schweizer. An Extension of the Rasmussen Socio-technical System for Continuous Safety Assurance. Proceedings of 8th International Workshop on Critical Automotive Applications: Robustness & Safety (CARS), Leuven, Belgium, April 8th, 2024. HAL archives ouvertes.fr, <hal-04558510>
B. Gallina, Henrik Dibowski, Markus Schweizer. An Ontology-based Representation for Shaping Product Evolution in Regulated Industries. 21st International Conference on Software and Systems Reuse (ICSR-2024), Lecture Notes in Computer Science, vol 14614. Springer, Cham. DOI: 10.1007/978-3-031-66459-5_6, Limassol, Cyprus, June 19-20, 2024.
. Gallina, G. L. Steierhoffer, T. Young Olesen, E. Parajdi, M. Aarup. Towards an ontology for process compliance with the (machinery) legislations. Journal of Software Evolution and Process (JSEP). 2024; e2728. DOI; 10.1002/smr.2728

Workshop on Safety Critical Systems and AI
2024-10-28 09:00 - 17:00 | Mälardalen University, Västerås, Universitetsplan 1, Västerås, Västerås, Sweden
The Trusted Smart Systems strategic profile area at Mälardalen University is pleased to invite you to a one-day workshop on Safety Critical Systems and AI. Join us for a one-day workshop that brings together leading academic researchers and industry experts to explore the latest advancements and challenges in this crucial field. This is a free-of-charge event, including lunch and refreshments.
Registration:
Registration required: link to registration page
Location:
Mälardalen University in Västerås, Room: Beta
Full agenda incl introduction of speakers
Invite including full agenda and introduction to speakers >>

Unlock the Future of Safety-Critical Systems with AI
The intersection of artificial intelligence (AI) and safety-critical systems represents both a challenge and a transformative opportunity. As AI technology rapidly advances, its integration into systems that society relies on—such as autonomous vehicles, healthcare, and industrial automation brings forth critical questions about safety, reliability, and trust. How can we harness the potential of AI while ensuring that these systems remain secure and resilient?
This event will delve into three core themes:

AI and Safety: Assess the dual nature of AI in safety-critical systems. We will explore how AI can both enhance and pose risks to safety in various domains, including autonomous vehicles, industrial systems, and healthcare.
AI and Cybersecurity: Discover how AI is reshaping the cybersecurity landscape, potentially enhancing defenses while also introducing new vulnerabilities.
Trustworthy AI in Society: Engage in discussions about the ethical, legal, and societal implications of AI, and what it means to develop systems that are not only effective but also trustworthy and aligned with societal values.

The workshop features keynote addresses from prominent experts, breakout sessions tailored to each theme, and a closing panel that will synthesize the insights and propose pathways forward.
Why Attend?

For Researchers: Connect with peers, gain insights into the latest research, and explore collaborative opportunities in AI and safety-critical systems.
For Industry Professionals: Learn about cutting-edge research that could impact your industry, discuss practical challenges, and network with leading academics and other industry leaders.

Don’t miss this opportunity to contribute to shaping the future of AI in safety-critical systems. Together, we can navigate the complexities and ensure that AI serves as a force for good in society.
Agenda:
Morning Session:

9:00 – 9:20: Registration and Welcome Coffee
9:20 – 9:30: Opening address
9:30 – 10:15: “Automotive safety standards for AI and related open issues” Keynote by Prof. Simon Burton, U. of York
10:15 – 10:35: “AI in critical systems – a business sector perspective” Mikaela Näslund, Vice President Research & Development, Westermo
10:35 – 10:55: “Ensuring AI Integrity: The Critical Role of Reliability, and Validation” Prof. Masoud Daneshtalab, MDU
10:55 – 11:15: Coffee Break
11:15 – 11:35: “Open challenges in cybersecurity” Prof Kai Rannenberg, Goete U. Frankfurt
11:35 – 11:55: “Confidential AI” Prof. Shahid Raza, MDU
11:55 – 12:15: “AI – what may be its (unintended) societal consequences?” Prof. Jonas Stier, MDU
12:15 – 12:35: Speaker 7 (to be announced) – 2nd presentation on societal implications
12:35 – 13:30: Lunch Break

Afternoon Session:

13:30 – 15:00: Breakout Session 1: AI and Safety
13:30 – 15:00: Breakout Session 2: AI and Cybersecurity
13:30 – 15:00: Breakout Session 3: Trustworthy AI in Society
15:00 – 15:30: Coffee Break
15:30 – 16:45: Panel Discussion: Where do we go from here? – Insights and findings from Breakout Sessions
16:45 – 17:00: Closing Remarks

Cross-company workshop on EU regulations
2024-10-17 10:30 - 15:00 | EDIT Jupiter 473, Hörselgången 5, Hörselgången 5, Gothenburg
In recent discussions with representatives from the SC companies, many people have brought up the fact that EU has pushed several regulations/laws that will, and are already, affecting the SC companies. As a few examples, there is the Cybersecurity Act, GDPR, the Data Act, the AI Act and the Product Liability Act.
Several SC companies have expressed concerns with how to respond to these regulations/laws and how to strategically prepare and organize for complying with these.
During this sprint, we plan to organize a cross-company workshop to discuss the implications of these EU regulations/laws. The focus of the workshop discussions will be the following:

How to respond to the EU regulations?
How will these regulations affect the ecosystem (and the companies’ position in their ecosystems)?
What are the strategies going forward?

As we see it, these regulations might require involving new partners, they might chance the existing value chain and they might upset the current power balance in the ecosystem. In the workshop, we explore these challenges and we discuss best practices to help the SC companies to optimally position (and/or re-position) in the new business landscape.
The workshop will be organized as an on-site workshop at Lindholmen in Gothenburg on October 17th (10:30 – 15:00). We will offer the possibility to join online but encourage on-site participation if at all possible.
Contact Helena Holmström Olsson for more info.

Mid-sprint steering committee meeting
2024-10-14 09:30 - 12:00 | Chalmers, Lindholmen, Hörselgången 5, Gothenburg, 41756, Sweden

Sustainability project meeting #1
2024-09-27 08:00 - 10:00 | Virtual meeting, Sweden
Sustainability is a vital aspect of any business; software engineering is no exception.
It is well-known that individuals, state agencies and companies all have to contribute to limit the negative effects of climate change and the biological environment. Other dimensions necessary for a sustainable future are Social, Individual, Technical, and Economic.
The vision with the project is that companies and researchers of Software

The project will prepare companies to better adapt to changes needed for a sustainable future along all dimensions and avoid reproduction of unsustainable practices.

The project will continue the dialogue in workshops with the sustainability experts and other professions at Software Center companies in order to:

Describe the current state of the work within companies on contributing to sustainability and the roadmap of changes.
Describe the risks and barriers against the changes.
Exchange experience among companies.
Analyse the implications for software and systems engineering professionals.
Analyse the implications for software and systems engineering research.
Take the lead in the requested sustainability work in the CoDig competence centre

Trustworthy and Human-Centered Test Automation – TAHCTA Kick Off
2024-09-06 | Chalmers, Lindholmen, Hörselgången 5, Gothenburg, 41756, Sweden
Our project aims to enhance the trustworthiness and effectiveness of test automation by integrating human intelligence and developing advanced analysis and visualization tools. By investigating cognitive and human factors, we seek to improve test automation through human-centered test generation, selection, and prioritization techniques that emphasize explainability and interactivity. Additionally, we focus on creating visualization and analysis methods tailored to human needs, addressing ethical challenges, and identifying synergies between human and automated test creation. We also explore the effective integration of mutation testing into the testing process, ensuring continuous delivery systems are transparent, reliable, and aligned with stakeholder needs.
Agenda:

Welcome and Introductions
Project Overview and Objectives
Brainstorming Session with Partner Companies
Prioritization of Activities
Networking Opportunities

More details to be added later on.
In person: Hus Jupiter, Rum 473
Hörselgången 5, 417 56 Göteborg
https://maps.chalmers.se/#24c0028f-a6e4-4f40-8616-84c584957877
Teams:
https://teams.microsoft.com/l/meetup-join/19%3ameeting_YTU2MzI2M2MtNTk1NS00MWRlLTk1ZTAtMzliNWFjNGUzNGE1%40thread.v2/0?context=%7b%22Tid%22%3a%22a1795b64-dabd-4758-b988-b309292316cf%22%2c%22Oid%22%3a%22cc58cd04-6442-4de2-b42c-9f096210ed4c%22%7d
Meeting ID: 374 987 585 143
Ask the organizer for passcode

Systems Engineering workshop at Saab
2024-09-05 13:30 - 2024-09-06 14:30 | Saab Surveillance, Gothenburg
Next stop: Saab, Göteborg!
Please be invited to our next on-site meeting, hosted by Saab, Göteborg. Detailed agenda will follow.
The SE community is open for Systems Engineers and similar roles focusing on integrating systems from disparate technologies.
Theme: Systems built to evolve
Time: Thursday 5th Sept 13:30 to Friday 6th 14.30
Place: Saab, Main Reception, Solhusgatan 10, Göteborg
Host: Tomas Berling, Saab
As inspiration…
Some of the topics we worked on at the previous on-site meeting in May at Tetra Pak, Lund:

The factory tour showed system dependencies in Tetra Pak’s value chain
Architecting “solution families” to deliver integrated use cases
Product line engineering with base and variants; applying form/fit/function to both hardware and software
Digital thread connecting suppliers and customers, enabling data insights across the value chain
Tool suites for systems engineering, enabling PLM from requirements to operations

Participants agreed that topics such as these open good sharing of experiences and can be continued in future collaboration.

qsip2024
2024-08-27 | Sweden
On August 27 Software Center and the CoDig competence center are attending the Quantum Sweden Innovation Platform conference, QSIP 2024, at Chalmers, Gothenburg.
We are there to learn more about global development of quantum computing and how that is relevant to Software center / CoDig partners.
The conference is arranged by QSIP and Vinnova, the Swedish Innovation Agency.

General assembly and Strategy workshop
2024-08-19 13:00 - 17:00 | Chalmers, Lindholmen, Hörselgången 5, Gothenburg, 41756, Sweden
The strategy workshop invites Software Center partners to discuss both near and long-term future of the center, in terms of both strategy and activities.
