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- ## Tasks
- ## Notes
- Keynote at [[STAF]] 2025
collapsed:: true
- #### **Modeling and LLMs in Continuous Software Engineering**
- [Anne Koziolek, Karlsruhe Institute of Technology Germany](https://conf.researchr.org/profile/STAF-2025/annekoziolek)
- Abstract:
- 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.
- 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.
- 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.
- Notes
- Cost-efficient modeling
- automated extrection of models from other artefacts
- Automated model consistency to enable cost-efficient evolution
- Natural language as one view of the system to be keto consistent
- NoRBERT for Requirements classification 2020
- Models in Continuous Software ENgineering
- At the beginning the ideal process was the waterfall one. But it seems does not work proprely in most cases. Specifications and implementations are inevitably interwined. This because:
- hierarchical intertwinement: high-level design decisions inform lower-level requirements
- technical feasibility: non-feasible requirements are useless
- validation: what you see is what you require.
- Iterative planning then!
- {{renderer :mermaid_68493348-7f45-4787-95d3-54066d1c01fd, 3}}
collapsed:: true
- ```mermaid
graph LR
A[Learn] --> B[Plan]
B --> C[Build]
C --> A
```
- Agile manifesto, 2001
- How to support cost-efficient modeling?
- [[LLMs]]
- some of the following slides can be exploited to prepare the slides for the [[Intervento PINKAMP]]
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_30187baa.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_30187baa_1749630102465_0.jpg)
-
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_ff16af13.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_ff16af13_1749630091232_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_95973dde.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_95973dde_1749630083642_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_027d3aca.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_027d3aca_1749630075116_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_1d7791d6.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_1d7791d6_1749630067578_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_967a7a16.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_967a7a16_1749630059144_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_d9373913.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_d9373913_1749630048710_0.jpg){:height 398, :width 852}
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_ac391187.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_ac391187_1749630036356_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_cec429ce.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_cec429ce_1749630024709_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_cec429ce.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_cec429ce_1749630015862_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_8e6aa93d.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_8e6aa93d_1749630000460_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_b8d84c22.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_b8d84c22_1749629984208_0.jpg)
-
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_28008e59.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_28008e59_1749629958665_0.jpg)
- This is related to [[Model Context Protocol (MCP)]] #LLMs #PROJECTS/MOSAICO #reading
- ![Immagine WhatsApp 2025-06-11 ore 10.16.57_98d091d4.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.57_98d091d4_1749629948940_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.57_65ad896b.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.57_65ad896b_1749629938063_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.57_f5db2351.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.57_f5db2351_1749629927969_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.57_ef51faac.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.57_ef51faac_1749629909005_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.57_c6ed5ee1.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.57_c6ed5ee1_1749629897850_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.57_2e12f1a1.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.57_2e12f1a1_1749629881839_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.57_48fec7ed.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.57_48fec7ed_1749629843969_0.jpg)
- A metascience study of the low-code scientific field - Jordi Cabot at [[STAF]] 2025
- Can the low-code popularity to help the community grow?
- Looking for win-win
- [lens.org](https://www.lens.org/) has been used to collect articles
- Nowadays there are more low-code papers than those using the MD* keywords
- How can you be sure that arxiv papers are duplicates of papers published somewhere else? #question
- Facts
- Decline in the size of the modeling community
- Low-code compensate that
- Rebrand MODELS with Lowcode?
- Becuase of the so different keywords like MDE/MDA/MBD/.,,, we look so fragmented
- Majority of low-code papers are applications
- Notes from [[Missione STAF 2025]] #todoist-task #STAF #ADMIN/MISSIONI #[[Attended Event]]
-
-
-
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tags:: #todoist-task [[STAF]] [[ADMIN/MISSIONI]]
tags:: #todoist-task, [[STAF]], [[ADMIN/MISSIONI]], [[Attended Event]], [[STAF]]
date:: [[09-06-2025]] - 13:52
progress:: {{renderer :todomaster}}
- ## Admin
collapsed:: true
- L'evento inizia il 10 di Giugno e termina il 13
collapsed:: true
- ECMFA 10,11
- SLE 12, 13
- Il 13 fino alle 14:00
@@ -11,3 +14,84 @@ progress:: {{renderer :todomaster}}
- Partieri il 10 e tornare il 13
-
- ![image.png](../assets/image_1748872921830_0.png){:height 361, :width 252}
- ## Notes
- ### Keynote at [[STAF]] 2025
collapsed:: true
- #### **Modeling and LLMs in Continuous Software Engineering**
- [Anne Koziolek, Karlsruhe Institute of Technology Germany](https://conf.researchr.org/profile/STAF-2025/annekoziolek)
- Abstract:
- 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.
- 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.
- 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.
- Notes
- Cost-efficient modeling
- automated extrection of models from other artefacts
- Automated model consistency to enable cost-efficient evolution
- Natural language as one view of the system to be keto consistent
- NoRBERT for Requirements classification 2020
- Models in Continuous Software ENgineering
- At the beginning the ideal process was the waterfall one. But it seems does not work proprely in most cases. Specifications and implementations are inevitably interwined. This because:
- hierarchical intertwinement: high-level design decisions inform lower-level requirements
- technical feasibility: non-feasible requirements are useless
- validation: what you see is what you require.
- Iterative planning then!
- {{renderer :mermaid_68493348-7f45-4787-95d3-54066d1c01fd, 3}}
collapsed:: true
- ```mermaid
graph LR
A[Learn] --> B[Plan]
B --> C[Build]
C --> A
```
- Agile manifesto, 2001
- How to support cost-efficient modeling?
- [[LLMs]]
- some of the following slides can be exploited to prepare the slides for the [[Intervento PINKAMP]]
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_30187baa.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_30187baa_1749630102465_0.jpg)
-
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_ff16af13.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_ff16af13_1749630091232_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_95973dde.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_95973dde_1749630083642_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_027d3aca.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_027d3aca_1749630075116_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_1d7791d6.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_1d7791d6_1749630067578_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_967a7a16.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_967a7a16_1749630059144_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_d9373913.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_d9373913_1749630048710_0.jpg){:height 398, :width 852}
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_ac391187.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_ac391187_1749630036356_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_cec429ce.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_cec429ce_1749630024709_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_cec429ce.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_cec429ce_1749630015862_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_8e6aa93d.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_8e6aa93d_1749630000460_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_b8d84c22.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_b8d84c22_1749629984208_0.jpg)
-
- ![Immagine WhatsApp 2025-06-11 ore 10.16.58_28008e59.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.58_28008e59_1749629958665_0.jpg)
- This is related to [[Model Context Protocol (MCP)]] #LLMs #PROJECTS/MOSAICO #reading
- ![Immagine WhatsApp 2025-06-11 ore 10.16.57_98d091d4.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.57_98d091d4_1749629948940_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.57_65ad896b.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.57_65ad896b_1749629938063_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.57_f5db2351.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.57_f5db2351_1749629927969_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.57_ef51faac.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.57_ef51faac_1749629909005_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.57_c6ed5ee1.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.57_c6ed5ee1_1749629897850_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.57_2e12f1a1.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.57_2e12f1a1_1749629881839_0.jpg)
- ![Immagine WhatsApp 2025-06-11 ore 10.16.57_48fec7ed.jpg](../assets/Immagine_WhatsApp_2025-06-11_ore_10.16.57_48fec7ed_1749629843969_0.jpg)
- ### A metascience study of the low-code scientific field - Jordi Cabot at [[STAF]] 2025
collapsed:: true
- Can the low-code popularity to help the community grow?
- Looking for win-win
- [lens.org](https://www.lens.org/) has been used to collect articles
- Nowadays there are more low-code papers than those using the MD* keywords
- How can you be sure that arxiv papers are duplicates of papers published somewhere else? #question
- Facts
- Decline in the size of the modeling community
- Low-code compensate that
- Rebrand MODELS with Lowcode?
- Becuase of the so different keywords like MDE/MDA/MBD/.,,, we look so fragmented
- Majority of low-code papers are applications
- ### An internal DSL for Graphical Modeling Tools Based on GLSP - Georg Hinkel
- Requirements of the language
- GLSP- specific
- Recurring concepts like layout information
- Support for 1:n correspondences
- Avoid separate graphical models #question This is similaro to Eugenia isn't it?
- Source of complexity in existing editors
- Metadata support
- Editor wants to know possible targets of and edge statically
- Integrated Protocols Support
- Used the same technology as **NMF Syncronizations**
-
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@@ -25,9 +25,12 @@ progress:: {{renderer :todomaster}}
todoist-desc:: logseq://graph/Logseq?page=Progettazione%20Offerta%20Formativa
todoist-id:: [9205819498](https://app.todoist.com/app/task/9205819498)
SCHEDULED: <2025-06-14 Sat>
- TODO [#A] [[Missione STAF 2025]]
todoist-id:: [9135141990](https://app.todoist.com/app/task/9135141990)
- DOING [#A] [[Missione STAF 2025]]
SCHEDULED: <2025-06-16 Mon>
todoist-id:: [9135141990](https://app.todoist.com/app/task/9135141990)
:LOGBOOK:
CLOCK: [2025-06-11 Wed 11:37:54]
:END:
- DONE [#C] [[Proposta di corso avanzato su machine learning]]
todoist-desc:: https://outlook.office365.com/owa/?ItemID=AAkALgAAAAAAHYQDEapmEc2byACqAC%2FEWg0AjoVpQvBez0Ss5ZY2WGWEJgAH1wAvQQAA&exvsurl=1&viewmodel=ReadMessageItem
todoist-id:: [9057940282](https://app.todoist.com/app/task/9057940282)