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Using AI in Software Design: How ChatGPT Can He...

Using AI in Software Design: How ChatGPT Can Help With Creating a Solution Architecture

Artificial intelligence, or AI, is becoming a big part of our lives. One type of AI is Large Language Models (LLMs), like chatGPT. At the iSAQB Software Architecture Gathering, I showed how chatGPT can help with complex tasks in software design, such as the tasks in the iSAQB Advanced Exam.

We delved into the intricacies of conversing with chatGPT, illustrating the strategies needed to generate productive prompts and effectively utilize the model as a sparring partner. The talk exemplified these concepts by taking the audience on a step-by-step journey through the process of tackling the iSAQB Advanced Example Exam, utilizing chatGPT.

We demonstrated how to prepare for a chat session with chatGPT, how to generate robust prompts, and how to manage the chat for optimal outcomes. We aimed to highlight the model’s capabilities as an interactive tool that can provide valuable insights and streamline the process of developing software architecture.

Whether you are a seasoned architect or a novice in the field, this presentation will equip you with novel techniques to navigate the challenging landscape of software architecture with the assistance of AI.

Ralf D. Müller

November 28, 2023
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  1. GPT-3 (Generative Pre-trained Transformer 3) was released in 2020. It

    was pre- trained on a massive dataset of 570GB of text data and had a capacity of 175 billion parameters. It was fine-tuned for a wide range of language tasks, such as text generation, language translation, and question answering. GPT-4 (Generative Pre-trained Transformer 4) was released in 2021, it was pre- trained on a massive dataset of many terabytes of text data and had a capacity of over 500 billion parameters. It was fine-tuned for a wide range of language tasks, such as text generation, language translation, and question answering with even more accuracy and fluency than GPT-3.
  2. Comparative performance of humans versus GPT-4.0 and GPT-3.5 in the

    self- assessment program of American Academy of Ophthalmology Out of 1023 questions, GPT-4.0 achieved the best score (82.4%), followed by humans (75.7%) and GPT-3.5 (65.9%) *Ophthalmologie ist der Zweig der Medizin, der sich mit der Anatomie, Physiologie und den Krankheiten des Auges beschäftigt.
  3. I am an experienced software architect in the field of

    web development. My favourite programming language is Java or Groovy. JavaScript and corresponding frameworks are not my thing. I prefer to get by with minimal JavaScript.
  4. I am an experienced software architect in the field of

    web development. My favourite programming language is Java or Groovy. JavaScript and corresponding frameworks are not my thing. I prefer to get by with minimal JavaScript. I am an experienced software architect in the field of web development. My favourite programming language is Python and JavaScript. I love modern JavaScript frameworks.
  5. I am an experienced software architect in the field of

    web development. My favourite programming language is Java or Groovy. JavaScript and corresponding frameworks are not my thing. I prefer to get by with minimal JavaScript. My expertise extends to modern technologies and approaches such as Spring Boot for the creation of robust and scalable backend services. I appreciate the lightweight and responsive design of Twitter Bootstrap, which I use specifically to create efficient user interfaces. Documentation is an integral part of my work, favouring the docs-as-code approach as it allows documentation to be maintained as part of the development code, ensuring timeliness and quality. These tools and methodologies form the foundation of my work, allow me to have an agile and responsive development environment, and help me to write clean, maintainable code.