Please note:
On this page you will only see the English-language presentations of the conference. You can find all conference sessions, including the German speaking ones, here.
The times given in the conference program of OOP 2024 correspond to Central European Time (CET).
By clicking on "VORTRAG MERKEN" within the lecture descriptions you can arrange your own schedule. You can view your schedule at any time using the icon in the upper right corner.
Track: Half Day Tutorial
- Montag
29.01.
We will dive into the foundations of Generative AI, especially Large Language Models, and how to use them in Products and speed up business processes.
Have you ever wondered how Large Language Models will impact your products? How you can use them to speed up your business processes? And how Security, Data Protection, Tracing, FinOps, … will work in a world of AI?
Product Owners/Managers, Team leads and Managers will benefit from an easy to understand workshop that gives practical advice you can use the next day.
Target Audience: Product Owners, Product Managers, Head ofs, Team Leads, Managers
Prerequisites: General business/product knowledge
Level: Basic
Extended Abstract:
In this workshop you will learn:
- History of LLMs
- How do LLMs work?
- Building blocks of LLMs: What makes them „human“
- Real use cases
- Security & Data Protection
- Tracing
- FinOps for LLMs
- Blueprint for orchestrating an AI Discovery workshop
Björn Schotte is co-founder and managing director at MAYFLOWER GmbH. In his role as Executive Consultant he helps companies with their agile transformation. More than 100 crew members at MAYFLOWER create and develop modern software products with agile teams.
He‘s an astonished explorer on his life-long agile journey.
To expand our horizons in testing, we should ask ourselves the following questions:
- What did we learn from the history of testing?
- What did we miss and what did we forget?
- How can we do better testing in the future?
Therefore, in this interactive tutorial we will identify, discover, investigate, reflect, and discuss testing wisdoms from different categories to answer these questions and to expand our horizons – you are invited to bring your own top 3 testing wisdoms (I will bring my top n) and share them with your peers in this tutorial!
Max. number of participants: 50
Target Audience: Test Architects, Test Engineers, Software-Architects, Developers, Product Owners, Quality Managers
Prerequisites: Basic knowledge about testing and quality engineering
Level: Advanced
Extended Abstract:
Effective and efficient software and system development requires superior test approaches in place and a strong commitment to quality in the whole team. 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.
To address these challenges and to expand our horizons in testing, we should ask ourselves the following questions:
- What did we learn from the history of testing?
- What did we miss and what did we forget?
- How can we do better testing in the future?
Therefore, in this interactive tutorial we will identify, discover, investigate, reflect, and discuss testing wisdoms from different categories (techniques, people, history) to answer these questions and at the same time to expand our horizons – you are invited to bring your own top 3 testing wisdoms (I will bring my top n) and share them with your peers in this tutorial!
Projected learning outcomes and lessons learned
- Get familiar with testing wisdoms – known and unknown, old and new.
- Learn and share experiences on how to discover and adopt testing wisdoms.
- Apply discussed testing wisdoms to improve your test approaches in the future!
Peter Zimmerer is a Principal Key Expert Engineer at Siemens AG, Technology, in Garching, Germany. For more than 30 years he has been working in the field of software testing and quality engineering. He performs consulting, coaching, and training on test management and test engineering practices in real-world projects and drives research and innovation in this area. As ISTQB® Certified Tester Full Advanced Level he is a member of the German Testing Board (GTB). Peter has authored several journal and conference contributions and is a frequent speaker at international conferences.
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Are you ready to take your agile development practices to the next level? Join us for a hands-on and interactive workshop where we will explore the interdependencies of eXtreme Programming (XP) practices and how they can help you achieve success in your agile journey. Using the powerful technique of Wardley Mapping, we will uncover the gaps in your agile adoption and gain a new understanding of your actual agile capabilities.
Laptop (with browser access) is required.
Target Audience: Architects, Developers, Leaders, Coaches, Facilitators
Prerequisites: Basic understanding of eXtreme Programming
Level: Advanced
Extended Abstract:
Wardley Mapping is a visual mapping technique used to understand the evolution of a particular market or product and the relative value that each component provides. In the context of agile development, Wardley Mapping can help you identify the components of your agile process that are providing the most value and where to focus your efforts next. During the workshop, we will guide you through the process of creating your own Wardley Map, analyzing your current agile development practices, and identifying areas for improvement. You will have the opportunity to work with a small group of peers and receive personalized feedback and guidance from our experienced facilitators.
Whether you are using XP practices, Ben Linders' agile coaching cards, or simply following the agile values and principles, this workshop is designed to provide you with the tools and insights you need to achieve agile mastery. Don't miss this opportunity to take your agile development journey to the next level. Sign up for our workshop and discover the power of Wardley Mapping and XP practices. Please note: Participants should bring a laptop* and be familiar with the basics of agile development practices.
* We are going to use Miro for the mapping.
Andreas Schliep, co-founder of DasScrumTeam, is a respected Scrum Coach and Trainer with two decades of software industry experience. Known for his leadership in Scrum implementation and organizational transformation, he's a sought-after speaker and advocate of Agile principles.
Peter Beck, a seasoned Scrum Trainer and engineer, is devoted to building value-driven companies. He founded DasScrumTeam, reflecting these values. With a degree in Electrical Engineering and Information Technology, he specializes in software development. Since 2004, he has helped businesses foster a culture of evolution. As a co-founder of DasScrumTeam AG, he champions Agile principles at the Enterprise level, notably through GAME3 and ScALeD.
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Developing functional and effective generative AI solutions requires addressing various challenges. Ensuring moderated content and factual accuracy without hallucinations, integrating proprietary and domain-specific knowledge, adhering to stringent data-residency and privacy requirements, and ensuring traceability and explainability of results all demand meticulous engineering efforts. In this hands-on workshop we will explore strategies to overcome these challenges, learn about best practices and implement examples using Cloud services.
Max. number of participants: 200
Laptop (with browser access) is required.
Target Audience: Data Architects, Data Engineers, Data Scientists, Machine Learning Engineers
Prerequisites: Basic knowledge about AI solutions and related Cloud services is a plus
Level: Advanced
Extended Abstract:
Generative AI is taking the world by storm and enterprises across industries are rallying to adopt the technology. However, developing functional and effective generative AI solutions within organizations requires addressing various challenges beyond the management of these novel machine learning models. Ensuring moderated content and factual accuracy without hallucinations, integrating proprietary and domain-specific knowledge, adhering to stringent data-residency and privacy requirements, and ensuring traceability and explainability of results all demand meticulous engineering efforts. Moreover, the user experience of the application has emerged as a crucial performance indicator, while maintaining a lean application footprint is essential for a positive business case.
In this hands-on workshop we will explore strategies to overcome these challenges and implement examples using Cloud services of Amazon Web Services (AWS). You'll get a temporary AWS account (free of charge) to participate but must bring your own laptop to participate. We will delve into best practices, design patterns, and reference architectures.
Aris Tsakpinis is a Specialist Solutions Architect for AI & Machine Learning with a special focus on natural language processing (NLP), large language models (LLMs), and generative AI.
Dennis Kieselhorst is a Principal Solutions Architect at Amazon Web Services with over 15 years of experience with Software-Architectures, especially in large distributed heterogeneous environments.
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As systems become complex, teams can be burdened with technical debt and architectural challenges, slowing development, and ultimately not being as agile and nimble as desired. If not enough attention is paid to technical debt, design problems will creep in until it becomes muddy, making it hard to deliver features quickly and reliably. This workshop discusses ways to sustain development by understating and managing technical debt. We will present the technical debt metaphor including the impact, and how to identify and monitor technical debt.
Max. number of participants: 50
Target Audience: Architects, Technical Managers, Agile Coaches, Developers, POs, Scrum Masters, QA
Prerequisites: Understanding architecture is beneficial though not necessary
Level: Advanced
Extended Abstract:
When building complex systems, it can be easy to focus primarily on features and overlook software qualities, specifically those related to the architecture and dealing with technical debt. Some believe that by following Agile practices—starting as fast as possible, keeping code clean, and having lots of tests—a good clean architecture will magically emerge. While an architecture will emerge, if there is not enough attention paid to the architecture and the code, technical debt, and design problems will creep in until it becomes muddy, making it hard to deliver new features quickly and reliably. Often, the technical debt items are unknown, unmonitored, and therefore not managed, thus resulting in high maintenance costs throughout the software life-cycle. This workshop discusses elements of sustainable development specifically for dealing with technical debt. The main topics that will be explained are the technical debt metaphor and concept, the impact of incurring technical debt, some types of technical debt, and what is not technical; debt. Additionally, we will discuss technical debt that teams may incur, where and how it arises, how to identify, monitor, and manage these debts to pay in the long term, and living with technical debt.
Graziela Simone Tonin has worked in the technology market for over 19 years in Brazil and abroad. Ph.D. in Computer Science. Received the US IBM World Award and the Women of Value Award. Led the Women In Tech Project.
Graziela mentors and worked in several national entrepreneurship and innovation programs, such as Innovativa Brasil. Ambassador of Clube Bora Fazer, an entrepreneurship community. She works as a professor at Insper Institution, a Teacher of Executive Education and customized programs for C-Levels, and also is a professor in Computer Science and Engineering program. She led the Women In Tech Project and is co-leader in the Gender Front of the Diversity Committee at Insper. Graziela leads volunteer projects throughout Brazil through the Grupo Mulheres do Brasil. In addition, she is part of a worldwide research project that analyzes initiatives aimed at women in software engineering.
Joseph Yoder is the owner of the Refactory and president of the Hillside Group. The ACM recognized Joe as a Distinguished Member in the category "Outstanding Engineering Contributions to Computing".
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