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Fix delimiter II
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@@ -18,7 +18,7 @@ Our recent approaches, such as [LiSSA](/approaches/lissa/), leverage Large Langu
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Documenting the architecture of a software system is important, especially to capture reasoning and design decisions. However, documentation is often incomplete, outdated, or missing, leading to loss of crucial knowledge and increased risks. Our long-term vision is to persist information from various sources, such as whiteboard discussions, to avoid losing essential system knowledge. A key challenge is ensuring consistency between formal artifacts (e.g., models) and informal documentation. We address this by applying natural language understanding and knowledge bases to analyze consistency and create traceability links between models and textual artifacts.
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<!-- NEVER CHANGE THIS LINE E. It is used as delimiter for the page at mcse.kastel.kit.edu -->
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<!-- NEVER CHANGE THIS LINE E. It is used as delimiter for the page at mcse.kastel.kit.edu -->
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ARDoCo is actively developed by researchers of the _[Modelling for Continuous Software Engineering (MCSE) group](https://mcse.kastel.kit.edu)_ of _[KASTEL - Institute of Information Security and Dependability](https://kastel.kit.edu)_ at the [KIT](https://www.kit.edu).
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