15 lines
1.8 KiB
Markdown
15 lines
1.8 KiB
Markdown
progress:: {{renderer :todomaster}}
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boox-notes:: 
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- ## Tasks
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- ## Notes
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- Keynote at [[STAF]] 2025
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- #### **Modeling and LLMs in Continuous Software Engineering**
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- [Anne Koziolek, Karlsruhe Institute of Technology Germany](https://conf.researchr.org/profile/STAF-2025/annekoziolek)
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- Abstract:
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- The notion of continuous software engineering extends practices like continuous integration to view the entire software development lifecycle as a continuous, interconnected flow of activities. At the same time, recent advances in large language models (LLMs) have revolutionized the way machines process natural language—language that plays a central role throughout software engineering, from requirements elicitation and design discussions to documentation.
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- In this talk, I will outline a vision for the role of models in continuous software engineering, focusing particularly on their use in design activities. I will argue that models will remain central to software engineering, even in an era of AI-assisted development, and explore what future design assistants might look like. One key capability of such assistants will be the ability to establish and use trace links between artifacts. I will present recent results showing how LLMs, combined with heuristic techniques, can achieve high precision and recall in this task.
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- Looking ahead, I will share our vision for how model-driven techniques can support more agile development of cyber-physical systems, and our ideas how LLMs can contribute to realizing the long-standing goal of model consistency. Finally, time permitting, I will also reflect on the use of LLMs in navigating software engineering literature and research data.
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