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 - Potrei pensare di ripartire il 13 Giugno - Il 12 ci potrebbe essere il meeting del SC di SLE - 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** - ### User-modeling in MDE - an SLR -