Speaking

Architecture

Software architecture encompasses the fundamental structures of a software system as well as the key architectural and technological decisions made throughout the course of a project. This field is shaped by modern requirements for quality, deployment, security, resilience, and the integration of AI, as well as diverse architectural styles such as modular monoliths and microservices. This track focuses on real-world experiences, challenges, and solutions. We are seeking presentations on architectural approaches, patterns, best practices, and methods for designing and documenting software architectures.

Keywords: Architectural styles, design patterns, modular monoliths, microservices, distributed systems, event-driven architecture, message-driven architecture, domain-driven design, event sourcing, CQRS, serverless architecture, cloud-native architecture, SOA, integration architecture, performance, scalability, resilience, observability, security architecture, REST, API design, messaging, architectural decisions, architecture decision records, quality attributes, agile and evolutionary software architecture, technical leadership, technical debt, software modernization, legacy systems, architecture testing, and documentation

Build & Deploy

Modern Java software is developed using automated build and deployment pipelines that incorporate practices such as CI/CD, DevOps, container and cloud technologies, Infrastructure as Code, and observability. This track examines the entire lifecycle of a Java application—from build and testing through deployment and operations—with a focus on best practices, new tools, and real-world experiences. Particular attention is given to solutions, challenges, and trade-offs in real-world projects. The track also highlights tools for development, automation, security, AI-powered development, and developer experience that make Java applications more efficient, secure, and reliable.

Keywords: Build Management, Maven, Maven 4, Gradle, Bazel, JPMS, Modular JARs, GraalVM, Native Image, JReleaser, CI/CD, Build Pipelines, GitHub Actions, GitLab CI, Jenkins, Tekton, GitOps, Argo CD, Flux, Deployment, Blue/Green Deployment, Canary Deployment, Feature Flags, Progressive Delivery, Zero-Downtime Deployment, Docker, Kubernetes, Helm, OpenShift, Distroless Containers, Testcontainers, Infrastructure as Code, Terraform, Pulumi, Crossplane, Platform Engineering, Developer Experience (DevEx), Skaffold, Tilt, IDE Tooling, CLI Tools, Remote Debugging, Observability, Monitoring, Logging, OpenTelemetry, Site Reliability Engineering (SRE), SBOM, Software Supply Chain Security, SLSA, Sigstore, Cosign, Vulnerability Scanning, Dependency Management, AI-assisted Development, AI-assisted CI/CD, Build Optimization, Deployment Automation

Quality & Testing

As software systems become increasingly complex, ensuring quality is becoming more and more important in order to detect errors early and keep applications maintainable, understandable, and secure in the long term. The Quality & Testing track addresses topics such as test strategies, test automation, code quality, static analysis, testability, and dealing with unstable tests and hard-to-test code. In addition, experience with the use of AI in quality assurance and in testing AI applications is in demand. The focus is on proven methods, tools, and practical insights from real-world projects.

Keywords:TDD, Coding Dojo, Clean Code, integration testing, unit testing, performance testing, end-to-end testing, software quality, quality assurance, test strategies, test automation, testability, code quality, static code analysis, test data, test environments, unstable tests, AI-assisted testing, test generation, test evaluation, AI-based quality assurance, Evaluations, Guardrails, Nondeterminism, Hallucinations, Bias, Risk Assessment

Engineering Practices

Good software is the result of proven development practices that help teams work efficiently, implement changes safely, and develop systems that are maintainable over the long term. The Engineering Practices stream focuses on technical methods, approaches, and insights from day-to-day software development. We are looking for presentations that shed light on technical workflows, share practical experiences, or offer new perspectives on established practices. Topics related to communication, leadership, and team culture, on the other hand, belong in the Life & Culture stream.

Data & Analytics

Data forms the foundation of modern software solutions, analytics, AI applications, and digital products. The Data & Analytics track focuses on the collection, processing, storage, analysis, visualization, and secure use of data, as well as the underlying architectures and platforms. The focus is on practical experience with data platforms, data quality, governance, data protection, real-time and batch processing, and the use of AI in data processing. We are seeking submissions that present proven concepts, tools, challenges, and solutions from real-world projects.

Keywords: Big Data Architectures, Data Engineering, Data Pipelines, Synthetic Data, Batch and Stream Processing, Real-Time Analytics, Analytics Engineering, Business Intelligence, Data Visualization, Apache Kafka, Apache Spark, Apache Flink, SQL, NoSQL, Graph Databases, Vector Databases, Time-Series Databases, Data Lakes, Data Warehouses, Lakehouse Architectures, Data Mesh, Data Modeling, Data Quality, Data Observability, Data Governance, Data Lineage, Data Privacy, Data Security, Data Sovereignty, Fairness, Sustainable Data Systems, Knowledge Graphs

Life & Culture

Software development thrives not only on technology, but above all on successful collaboration among people with different perspectives and roles. The Life & Culture stream focuses on the human, organizational, and cultural aspects of software development, such as collaboration, feedback, leadership, learning, and personal development. We are looking for practical presentations that open up new perspectives, provide food for thought, and demonstrate how teams can collaborate more successfully. Technical processes and development practices, on the other hand, belong in the Engineering Practices stream.

Keywords: DevOps, Conway’s Law, Agile, Lean Management, Lean Software Development, Scrum, Kanban, Scrumban, Open Space, Lean Coffee, Extreme Programming, Grows Method, Growth Mindset, Sketchnotes, Graphic Recording, Design Thinking, New Work, Holocracy, Diversity

UI & UX

The UI & UX track is dedicated to the development of modern user interfaces and exceptional user experiences. The focus is on both technical topics such as front-end technologies and design systems, as well as methods related to usability, accessibility, user research, and collaboration between design and development. Equally relevant are the use of AI in digital interfaces and trustworthy, secure, and privacy-friendly interactions. We are looking for presentations that demonstrate how people can interact better with software or how developers can create better user experiences.

Keywords: Front-end Development, Web UI, Mobile UI, Native UI, Cross-Platform Development, Design Systems, Component Libraries, UI Architecture, Interaction Design, User Experience Design, Responsive Design, Accessibility, Inclusive Design, Usability, User Research, User-Centered Design, Information Architecture, Prototyping, Visual Design, Motion Design, Animation, Microinteractions, Internationalization, Offline-First, Progressive Web Apps, Front-End Performance, Design Tokens, Web Components, SVG, Vector Graphics, UI Testing, Usability Testing, Design-Development Collaboration, JavaScript, CSS, Android, Flutter, Vaadin, JavaFX, Jakarta Faces, Jetpack Compose, Compose Multiplatform

Beyond

The Stream Beyond is aimed at anyone who looks beyond the familiar technology stack and explores new ideas, technologies, and perspectives. The focus is on innovations from research and practice, including experiments, successes, failures, and the insights gained from them. We are seeking contributions on unconventional approaches and future-oriented topics that inspire and provide new impetus for projects and companies. This track provides a space for bold experiments, learning by doing, and discussions about paths beyond established solutions.

Keywords: Emerging Tech, Edge Computing, IIoT, Digital Twins, Quantum Computing, Virtual/Augmented Reality, Green IT