[logseq-plugin-git:commit] 2025-06-06T07:53:33.389Z

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- ✔️ [[05-06-2025]] *16:51* ((68414fa7-671f-43f2-9bca-3a6e0208567e))
- ✔️ [[05-06-2025]] *23:27* ((683620b6-076a-40c2-a39e-ed6e6b6b38d0))
- ✔️ [[05-06-2025]] *23:27* ((683620b6-807d-4a7b-833c-08a95c81bc76))
- ✔️ [[05-06-2025]] *23:30* ((683620b6-4510-470b-90ef-d8ec1122471c))
- ✔️ [[05-06-2025]] *23:30* ((683620b6-4510-470b-90ef-d8ec1122471c))
- ✔️ [[06-06-2025]] *09:53* ((683e08c8-82e3-4e52-8c5d-16a3c15ba341))
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- [ICSE 2026 Review Process and Guidelines - Google Slides](https://docs.google.com/presentation/d/1YD3-H2fgA26SQhv7VqUMRB936GeYjvWZOgHltsIgeL4/edit?slide=id.ge27c856fa7_1_15#slide=id.ge27c856fa7_1_15)
- Have a look at slide 90 on *Discussion Period*
- ![image.png](../assets/image_1748853396186_0.png){:height 349, :width 570}
- ![image.png](../assets/image_1748853415029_0.png){:height 274, :width 572}
- ![image.png](../assets/image_1748853493738_0.png){:height 328, :width 522}
- Discussion leader for the following papers
- [#50 - ICSE 2026, Research Track](https://icse2026.hotcrp.com/paper/50#Cycle-1-Rebuttalresponse)
- **Discussion leader for the following papers**
- DONE [#50 - ICSE 2026, Research Track](https://icse2026.hotcrp.com/paper/50#Cycle-1-Rebuttalresponse)
id:: 683e08c8-82e3-4e52-8c5d-16a3c15ba341
- ![2026_AutoEmbed_ICSE Rebuttal.pdf](../assets/2026_AutoEmbed_ICSE_Rebuttal_1748853662638_0.pdf)
- I'm reviewer B for this paper
- [[icse2026-paper50]]
- Triggered discussion
- [#1640 - ICSE 2026, Research Track](https://icse2026.hotcrp.com/paper/1640)
- [[icse2026-paper1640]]
- Triggered the discussion
- Triggered the discussion
- [**ICSE 2026 Review Process and Guidelines - Google Slides**](https://docs.google.com/presentation/d/1YD3-H2fgA26SQhv7VqUMRB936GeYjvWZOgHltsIgeL4/edit?slide=id.ge27c856fa7_1_15#slide=id.ge27c856fa7_1_15)
- Have a look at slide 90 on *Discussion Period*
- ![image.png](../assets/image_1748853396186_0.png){:height 349, :width 570}
- ![image.png](../assets/image_1748853415029_0.png){:height 274, :width 572}
- ![image.png](../assets/image_1748853493738_0.png){:height 328, :width 522}
@@ -0,0 +1,3 @@
tags:: #todoist-task [[PAPERS]]
date:: [[06-06-2025]] - 09:39
progress:: {{renderer :todomaster}}
@@ -0,0 +1,5 @@
tags:: #todoist-task [[PROJECTS/PRIN-EMELIOT]] [[meeting]]
date:: [[06-06-2025]] - 09:39
progress:: {{renderer :todomaster}}
-
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- TODO [#A] [[Intervento PINKAMP]]
todoist-id:: [9179967916](https://app.todoist.com/app/task/9179967916)
SCHEDULED: <2025-06-07 Sat>
- TODO [#A] [[Update fondi progetti]]
- TODO [#B] [[Update fondi progetti]]
todoist-id:: [9143259271](https://app.todoist.com/app/task/9143259271)
SCHEDULED: <2025-06-06 Fri>
- TODO [[[mosaico-all] MOSAICO meetings in Rome July 2025]]
@@ -65,4 +65,12 @@ progress:: {{renderer :todomaster}}
- TODO [[Invited talk at LLMA4SE Summer School website]]
todoist-id:: [9201031612](https://app.todoist.com/app/task/9201031612)
todoist-desc:: From: chemacm@unex.es
SCHEDULED: <2025-08-18 Mon>
SCHEDULED: <2025-08-18 Mon>
- TODO [#A] [[Riunione Emeliot Salerno - Luglio 2025]]
todoist-id:: [9161916557](https://app.todoist.com/app/task/9161916557)
todoist-desc:: From: leonardo.mariani@unimib.it
SCHEDULED: <2025-06-06 Fri>
- TODO [#A] [[I: ELSEVIER IST: Your Submission - INFSOF-D-25-00112 - Major Revision]]
todoist-id:: [9223518427](https://app.todoist.com/app/task/9223518427)
todoist-desc:: From: giordano.daloisio@univaq.it
SCHEDULED: <2025-06-06 Fri>
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@@ -14,6 +14,7 @@ todoist:: https://app.todoist.com/app/task/50-auto-embed-towards-automated-softw
- ### [[Highlights]]
- ### [[Comments]]
collapsed:: true
- Paper summary
- The paper presents AutoEmbed, an LLM-based approach to support the automated development of embedded IoT systems. The platform aims to facilitate different phases of the development process, including identifying the required modules and libraries needed to implement the desired system. The paper presents an evaluation consisting of 4 different development platforms, 71 modules, and over 350 IoT tasks.
- Strengths
@@ -52,6 +53,8 @@ todoist:: https://app.todoist.com/app/task/50-auto-embed-towards-automated-softw
- How is the correctness of the generated system verified beyond compilation—particularly when logical errors might be present?*
- Could you clarify how metrics such as "coding accuracy" and "completion rate" reflect the effectiveness of individual components of AutoEmbed (e.g., library resolution, knowledge augmentation)? Are there any component-specific metrics available?
- Regarding the EmbedTask dataset: could you elaborate on the granularity of the tasks and how the classification into three difficulty levels was defined?
- [[Metareview]]
- The paper proposes AutoEmbed, an LLM-based framework for automating embedded IoT development. While the idea is interesting and the evaluation broad, according to the reviewers the submission suffers from significant limitations. In particular, valid concerns are raised regarding the clarity and rigor of the methodology, the definition and validity of evaluation metrics, and the limited discussion of system correctness and robustness. Reviewers are not satisfied by the rebuttal letter, which does not address these key issues. Given these unresolved concerns, particularly around logical correctness , the paper is not ready for acceptance in its current form. Nevertheless, the reviewers have provided specific suggestions that we believe will be valuable in improving the paper for potential publication in the future. We hope you find these suggestions helpful as you work towards enhancing the quality of the research.
- ### [[REVIEWS/Notes]]
- ### YELLOW CONCERNS
background-color:: yellow