Tracks

In software development, change is the only constant. This track explores practical strategies for designing systems capable of evolving with business needs and technological advancements. We embrace change by prioritizing loose coupling, modularity, and socio-technical approaches to enable rapid iteration and minimize risk.

Topics include:

• Microservices, modern monoliths, and beyond
• Architecture fundamentals like modular design principles
• Socio-technical approaches
• Collaborative modeling and architecture approaches
• Agile architecture

This track explores Generative AI's dual impact on software architecture: revolutionizing how we build software and what we build. Learn how GenAI tools can accelerate architecture design and assessment, the creation of code, documentation, as well as tests. Gain practical insights and strategies to leverage GenAI for building more innovative, efficient, and intelligent software.

Topics include:

• Generative AI
• LLM, Language Models
• Software Architecture
• LLMOps, MLOps
• NLP
• AI Agents, Agentic AI
• RAG, Retrieval-Augmented Generation
• GraphRAG
• Prompting

Domain-Driven Design is a methodology for the whole software development process. In this OOP track, we will explore the roots of DDD as well as the many valuable extensions of recent years. The topics of this track will cover:

• Software architecture and design within and across bounded contexts
• Collaborative Modeling with domain experts and development teams
• Context Mapping and strategic design for large domains
• Frontend Development with distributed bounded contexts
• Dividing and updating of bounded context-specific databases
• Improving legacy with domain-driven design
• Agile development and team organization in the light of DDD

We are particularly interested in case studies, success stories and failures, innovations, and practical lessons so that the participants can apply your experiences directly to their projects.
 

Artificial Intelligence is not just another tool — it changes how we think, decide, build, and lead. This track explores how AI ends “business as usual” by transforming how products are developed, how decisions are made, and how organizations function.
We are looking for sessions that show what it means to create AI-native products, build decision systems with AI in the loop, and lead change in teams and companies shaped by intelligent systems. Let’s talk about unlearning, ethics, governance, and the deep shifts in mindset and structure that AI demands — far beyond the technical stack.

Topics include:

• AI-native product development & co-creation
• Human-AI decision systems & reasoning
• AI-driven organizational change & role evolution
• Leadership, unlearning & mindset shifts
• Responsible AI, ethics & EU AI Act
• Governance beyond tooling
• Case studies: AI reshaping products, teams & companies

 Thanks to DevOps, Dev and Ops have come closer together and new solutions have been created. However, there are also new challenges that are changing the way we work. Our goal is to find out whether platform engineering can help us overcome them. It can be a further development of the DevOps movement. To explore this topic, this track covers the following essential topics:

• DevOps culture
• Infrastructure-as-Code
• Continuous Integration
• Continuous Delivery
• Build & Operation
• Automation tools
• Developer Experience
• Platform Engineering
• Cloud-Sovereignty

UX, Product Ownership, and Requirements Engineering are disciplines that, by nature, must respond to change—whether driven by new insights, user feedback, or shifting project constraints. With emerging challenges such as the growing need for sustainability, AI, the EU Accessibility Act, to name a few, this adaptability is becoming a critical success factor. This track focuses on practical methods from UX, PO, and RE perspectives that help software architects and project leaders structure complex projects, make informed decisions, and guide teams through uncertainty.

Sample topics:

• Adaptive product ownership in changing environments
• Innovative methods and tools (including AI-assisted approaches)
• Dealing with legacy systems while enabling innovation
• Design Thinking and Lean Startup in uncertain contexts
• Evolving business models and product strategies
• Continuous product discovery amid shifting requirements
• Requirements engineering and business analysis
• UX/UI and customer-centric design with a focus on accessibility
• Prototyping and experimentation as drivers of adaptability

Effective and efficient software and system development requires superior test approaches in place and a strong commitment to quality. To realize the right mix of test methods and quality measures is no easy task in real project life due to increasing demand for reliability of systems, cost efficiency, and market needs on speed, flexibility, and sustainability. The track provides practical guidance on how to address these challenges in the area of testing and quality and how to embrace change in our test approaches. Experts from different domains present key learnings from the past as well as new directions in the field, explain approved strategies and practices, and share valuable project experiences how to make it happen.

Sample topics (but not limited to):

• New directions in test strategies and quality approaches to anticipate change
• Next generation test automation and test architectures as enablers for an effective test approach
• Continuous test improvement to embrace change in our test approaches
• Digitalization of testing: SaaS testing, IoT testing, (Gen) AI testing, metaverse testing
• Continuous Testing @ DevOps and beyond – what’s next?
• Testing non-functional requirements in collaboration with other stakeholders
• Effectiveness, efficiency, and sustainability of test and quality approaches
• Defect prevention by innovative testing

Of particular interest are case studies, success and failure stories, innovations, and practical lessons that attendees will be able to apply in their projects.

Agility is a living system. One that needs to be nurtured, sustained, and continually reinvigorated – especially in times of uncertainty. Many organizations have introduced agile practices, but rituals and processes alone are not enough. True agility comes to life when it’s practiced, reflected upon, and continuously evolved – by individuals, teams, and leaders alike.
Celebrating the 25th anniversary of the Agile Manifesto and guided by the theme of "Embrace Change," this track focuses on how agility helps embrace, shape, and sustain change. So, we’re looking for honest stories, fresh tools, and bold questions that reflect, challenge, and move forward.

Possible topics:

• 25 Years of the Agile Manifesto – What Now?
• Social Integration & Psychological safety
• Leadership that enables change
• Keeping Agility Alive (Beyond Rituals)
• Tools & Micro-Interventions
• Inner Work & Resilience
• Experiments, Movements and culture shifts

We are creators of digital products and strive to innovate the legacy around us. Our tools become more powerful with each month. But with these *AI*ncreasingly more powerful tools and with expert colleagues from far away that work for less than a quarter of our salary, we struggle each day to stay excellent. At our hearts we are the nerds who play around with Atari, a raspberry pi or by prompting gemini. And with every day in business, we have to learn to innovate our own brainy legacy.

The companies we work for struggle with legacy, stiff processes and stale products. What about the old-timers in the company - how do you make them love innovation and interest them with fresh ideas beyond ABAP-programming? And what about the juniors who struggle to understand that a software lifecycle has more than two phases?

If you want to share your experience or your expertise in legacy-systems, renovation of legacy, innovation, change in legacy organizations, or even sticking to legacy and management of innovation, we are eagerly awaiting your submissions. We focus on the following topics:

• legacy systems
• innovative changes
• innovator's mindset
• knowledge and AI
• endurance
• sustainable inventions
• courage & insubordination

The OOP conference has repeatedly stood out as a pioneer and mediator of new trends and tools for software design, architecture, and programming. Over many years, features have been presented that expand and round off the existing principles of good software development.
Sometimes, however, we forget about the basics of our work to design good Software and Systems. This might have the effect of overwhelming new participants, but also causes the risk for experienced attendees to forget about what really is important. Especially as also the basics improve over time.
In this track, we would therefore like to:

• concentrate on the basics of system design, architecture, and programming. In particular, what is a design pattern, what is the Barbara-Liskov design principle, what is a container, and which fundamental mechanisms exist to decouple, scale, and test,
• cover the basics that are important for developing good systems and their software, and
• provide an opportunity to ensure that the fundamentals are understood and that we don't lose ground with all the high-level features and tools.