[logseq-plugin-git:commit] 2025-06-12T12:39:29.681Z
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tags:: #todoist-task, [[STAF]], [[ADMIN/MISSIONI]], [[Attended Event]], [[STAF]]
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tags:: #todoist-task, [[STAF]], [[ADMIN/MISSIONI]], [[Attended Event]]
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date:: [[09-06-2025]] - 13:52
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progress:: {{renderer :todomaster}}
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@@ -16,6 +16,7 @@ progress:: {{renderer :todomaster}}
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- {:height 361, :width 252}
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- ## Notes
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- ## My first day at [[staf]]
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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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-
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- ## Second day at [[STAF]] / [[SLE]]
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- ### Keynote at [[sle]] da Thorsten Berger (A new DSL textbook in town!)
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- Abstract:
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- DSLs are the ultimate abstraction in software engineering. While programming languages have – since the advent of computers – continuously increased their level of abstraction, they are still limited to the domain of computing, with their instances containing many technicalities. Unlike programming languages, DSLs reflect a given application domain, ideally abstracting away anything beyond it. Recognizing their strengths, the programming-language and the software-engineering community introduced many technologies for engineering DSLs. While well-polished widely-used DSLs have existed for a long time (e.g., SQL, regular expressions, HTML), language engineering technologies have made great progress over the last two decades, allowing developers who are not language or compiler experts to create their own DSL – in order to increase the level of automation for their projects.
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- {:height 535, :width 524}
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- external vs internal DSL
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-
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- **LLM4SE ** Workshop
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- ### LLM4SE Workshop
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- **[LLMs for Software Engineering: What does that mean for model-driven software development?](https://conf.researchr.org/home/staf-2025/llm4se-2025#)** - **Gabriele Taentzer** invited talk
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- ### **[Optimizing Retrieval Augmented Generation for Object Constraint Language](https://conf.researchr.org/program/staf-2025/program-staf-2025/?date=Thu%2012%20Jun%202025&past=Show%20upcoming%20events%20only#)**
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- {:height 370, :width 677}
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- [[Optimizing Retrieval Augmented Generation for Object Constraint Language]]
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- [[Optimizing Retrieval Augmented Generation for Object Constraint Language]]
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- ### **[Leveraging LLMs to support co-evolution between definitions and instances of textual DSLs](https://conf.researchr.org/program/staf-2025/program-staf-2025/?date=Thu%2012%20Jun%202025&past=Show%20upcoming%20events%20only#)**
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- RQ1: How LLMs can automate the evolution of instances with evolging XText grammars
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- RQ2: How does instance size affect the capability of LLMs to produce correct solutions when co-evolving instances
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- RQ3: How do these factos affect LLSs' capabilitiy in presirving auxiliary information during DSL co-evolutio?
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-
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@@ -1,4 +1,4 @@
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tags:: #todoist-task [[SERVICES/PINKAMP]]
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tags:: #todoist-task, [[SERVICES/PINKAMP]]
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date:: [[04-06-2025]] - 12:24
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progress:: {{renderer :todomaster}}
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@@ -58,7 +58,7 @@ progress:: {{renderer :todomaster}}
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:LOGBOOK:
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CLOCK: [2025-06-07 Sat 13:49:10]--[2025-06-08 Sun 21:19:31] => 31:30:21
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:END:
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- TODO [#A] [[Intervento PINKAMP]]
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- TODO [#A] [[Preparazione Intervento PINKAMP]]
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todoist-id:: [9179967916](https://app.todoist.com/app/task/9179967916)
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SCHEDULED: <2025-06-12 Thu>
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- TODO [#A] [[Aggiornamento uso fondi progetti]]
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