Many developers evoke technical debt to explain the misfortunes and troubles of their codebase and delivery. While unmanaged technical debt weighs down an architecture and exerts drag on its schedule, it is more often an effect than a cause. In this talk, we will look at what is and is not meant by technical debt with a view to properly attributing the root and recurring cause as technical neglect than technical debt. Without seeing technical neglect for what it is, we will continue to misattribute our problems to an effect rather than a cause.

Target Audience: Developers, Architects, Technical Managers
Prerequisites: Responsibility for software development, whether implementing it, guiding it or managing it
Level: Advanced

Extended Abstract:
Many developers evoke the mischievous spirit and day-to-day burden of technical debt to explain the misfortunes and troubles of their codebase and delivery. While unmanaged technical debt weighs down an architecture and exerts drag on its schedule, it is more often an effect than a cause. In this talk, we will look at what is and is not meant by technical debt — and other metaphors — with a view to properly attributing the root and recurring cause as technical neglect than technical debt. Without seeing technical neglect for what it is, we will continue to misattribute our problems to an effect rather than a cause.

Although the term "Cloud Native" in the context of Java has been repeated ad nauseam for years, the JVM as a platform has only recently entered a phase where everything truly aligns with how cloud-native architectures are designed. Let's trace the path Java has already taken in recent years and take a look at what lies ahead in the future. During this presentation, you will learn about projects such as Leyden, CRaC, and GraalVM, and how they can realistically influence the way applications are developed.

Target Audience: Cloud Java Architectural Leads
Prerequisites: Basic Knowledge od Java, Cloud Challenges Experience
Level: Advanced

Extended Abstract:
The goal of the presentation is to provide a comprehensive overview of the evolution of Java in relation to cloud-native architectures. The presentation aims to educate the audience about the progress Java has made in recent years and shed light on the future prospects of the language.
By discussing key projects like Leyden, CRaC, Microprofile and GraalVM, the presentation intends to demonstrate their relevance and potential impact on application development. Ultimately, the goal is to inspire the audience to embrace cloud-native principles in their Java projects and adapt their development practices accordingly.

Henning (OO to the core) and Mike (ferociously FP) agree on all the fundamentals of software architecture, but when it comes to designing models, they can't seem to find common ground.
OO and FP folks like to congratulate themselves on how well they go together - and how OO languages are accreting one feature after another from the FP world.
Henning and Mike will highlight how OO and FP approaches to design differ, and offer possible approaches to unifying both for mutual gain and insight.

Target Audience: Architects, Developers
Prerequisites: Experience in OO or FP
Level: Advanced

Extended Abstract:
Much work remains to unify these two worlds:

1. OO folks are weary of premature abstractions, whereas FP folks tend to abstract early.
2. While both camps prefer operation-rich models, the approaches to designing these operations are incompatible. Specifically, the BDD and TDD approaches favored by the OO folks are incompatible with the design recipes approach preferred by the functional camp.
3. Paradoxically, OO - which is supposed to be about objects - espouses BDD which is about functions, whereas FP has a rich tradition in data design, i.e. objects.
4. In OO, objects populate the domain, and they are encapsulated and thus isolated, whereas in FP this encapsulation is an emergent (or not emergent) phenomenon.
5. OO is inherently stateful, and FP is inherently stateless. This naturally leads to very different approaches to interface design, and more importantly, to the use of types.

Mehr Inhalte dieser Speaker? Schaut doch mal bei sigs.de vorbei: https://www.sigs.de/autor/michael.sperber; https://www.sigs.de/autor/henning.schwentner

Most current UI libraries provide great user experience with a vast of components. But when it comes to heavy customization and non-standard scenarios, especially for E-Commerce, they become hard to manage, scale or even slow down performance. How to create a UI library that provides users the most possible freedom in customizing components, while keeping our performance and scalability to the fullest? How much customization freedom is enough? That's what my talk is about.

Target Audience: Developers, Architects, Project Leader
Prerequisites: JavaScript
Level: Advanced

Last year in open source, we saw the compliance threat shift from license violation to contract violation, we saw the rise of the bill of material as a purchasing requirement, and we saw the continued growth of source-available licenses. If you don't know what I'm talking about, you really need to attend, because your business is at risk if you don't understand these changes. In this annual talk, I will review the last year and speculate about what the future may bring.

Target Audience: Product Leaders, Engineering Leaders, Architects, Developers, Enthusiasts
Prerequisites: Basic understanding of open-source software development
Level: Advanced

During the talk, we'll dive into the historical context of Generative AI and examine their challenges. From legal compliance to fairness, transparency, security, and accountability, we'll discuss strategies for implementing Responsible AI principles.
It's important to note that the landscape for AI-driven products is still evolving, and there are no established best practices. The legislative framework surrounding these models remains uncertain, making it even more vital to engage in discussions that shape responsible AI practices.

Target Audience: Decision Makers, Developers, Managers, Everyone - AI-driven products require cross-functional teams
Prerequisites: None
Level: Basic

Extended Abstract:
Foundation models like GPT-4, BERT, or DALL-E 2 are remarkable in their versatility, trained on vast datasets using self-supervised learning. However, the adaptability of these models brings forth ethical, socio-technical, and legal questions that demand responsible development and deployment.
During the talk, we'll delve into the history of AI to better understand the evolution of generative models. We'll explore strategies for implementing Responsible AI principles, tackling issues such as legal compliance, fairness, transparency, security, accountability and their broader impact on society.
It's important to note that there are currently no established best practices for AI-driven products, and the legislative landscape surrounding them remains unclear. This underscores the significance of our discussion as we collectively navigate this emerging field.

Are Large Language Models (LLMs) sophisticated pattern matchers ('parrots') without understanding or potential prodigies that eventually surpass human intelligence? Drawing insights from both camps, we attempt to reconcile these perspectives, examines the current state of LLMs, their potential trajectories, and the profound impact these developments have on how we engineer software in the years to come.

Target Audience: Developers and Architects
Prerequisites: A basic understanding of Large Language Models is helpful but not required
Level: Basic

Extended Abstract:
Large Language Models (LLMs) are complex 'black box' systems. Their capabilities remain largely mysterious, only beginning to be understood through interaction and experimentation. While these models occasionally yield surprisingly accurate responses, they also exhibit shocking, elementary mistakes and limitations, creating more confusion than clarity.
When seeking expert insights, we find two diverging perspectives. On one side, we have thinkers like Noam Chomsky and AI experts such as Yann LeCun, who view LLMs as stochastic 'parrots' — sophisticated pattern matchers without true comprehension.
In contrast, AI pioneers like Geoffrey Hinton and Ilya Sutskever see LLMs as potential 'prodigies' — AI systems capable of eventually surpassing human intelligence and visionaries like Yuval Noah Harari that view LLMs as substantial societal threats.
Regardless of whether we see LLMs as 'parrots' or 'prodigies', they undeniable are catalyzing a paradigm shift in software engineering, broadening horizons, and pushing the boundaries of the field.
What are the theories underpinning these experts' views? Can their perspectives be reconciled, and what can we learn for the future of software engineering?
To answer these questions, we examine the current capabilities and developments of LLMs and explore their potential trajectories.

Artificial Intelligence (AI) has become integral to software development, automating complex tasks and shaping this field's future. However, it also comes with challenges. In this talk, we explore how AI impacts current software development and possibilities for the future. We'll delve into AI language models in programming, discussing pros, cons and challenges. This talk, tailored to both supporters and skeptics of AI in software development, doesn't shy away from discussing the ethical obligations tied to this technology.

Target Audience: Software Engineers, Architects and Project Leaders in an enterprise environment
Prerequisites: Basic Understanding of Software Development
Level: Advanced

Extended Abstract:
The integration of Artificial Intelligence (AI), especially AI language models, is fundamentally reshaping the landscape of software development. This transformative technology offers exciting possibilities, from enhancing developer productivity to simplifying complex tasks. However, it is crucial to acknowledge and address the inherent challenges that accompany these advancements.
In this session, we delve into AI's role in software development, emphasizing both the potential benefits and potential drawbacks of AI. We will also examine the ethical implications of this technology.
By the end of the session, attendees will have a comprehensive understanding of AI's role in software development, reinforced by practical demonstrations. Participants will gain insight and skills for their daily roles as well as strategies for adopting and applying AI within their software development context.
As AI continues to permeate software development, understanding its potential and preparing for its challenges has become vital. My session, directly tied to the conference theme of "Expanding Horizons", provides unique, practical insights to help attendees navigate an AI-integrated future. Join me in encouraging the responsible and effective use of this transformative technology.

High traffic during business hours, no traffic at night, weekends and vacations, multiple teams, and several staging environments - these characteristics of a typical enterprise application. Pay-as-you-go, "scale-to-zero" and managed services make serverless architectures appealing for enterprise applications.
On-premise, on the other hand, you get the maximum flexibility and full access to machines with less automation and so more plumbing.
I will compare both approaches with focus on architecture and answer your questions in real time.

Target Audience: Developers, Architects
Prerequisites: Basic Cloud and Java Knowledge
Level: Advanced