Add icsa26 paper details :)

Author: dfuchss

_bibliography/papers.bib

@@ -200,3 +200,18 @@ @article{fuchss_lissa_2026
   publisher = {Gesellschaft für Informatik, Bonn},
   year      = {2026}
 }
+
+@inproceedings{liu_architecture_2026,
+  title           = {Architecture in the Cradle: Early Warning of Architectural Decay with ArchGuard},
+  author          = {Liu, Haoyu and Fuch{\ss}, Dominik and Corallo, Sophie and Hummel, Maximilian and Keim, Jan and Hey, Tobias},
+  abbr            = {ICSA},
+  booktitle       = {2026 IEEE 23rd International Conference on Software Architecture (ICSA)},
+  eventdate       = {2026-06-22/2026-06-26},
+  eventtitle      = {23rd IEEE International Conference on Software Architecture},
+  eventtitleaddon = {ICSA 2026},
+  language        = {english},
+  publisher       = {IEEE},
+  venue           = {Amsterdam, Netherlands},
+  year            = {2026},
+  html            = {/c/icsa26}
+}

_conferences/aire25.md

@@ -16,7 +16,6 @@ approaches:
   - LiSSA
 conference_name: "33rd International Requirements Engineering Conference Workshops (REW)"
 conference_url: https://aire-ws.github.io/aire25/
-published: true
 links:
   paper:
     kitopen: https://publikationen.bibliothek.kit.edu/1000183058

_conferences/ecsa21.md

@@ -18,7 +18,6 @@ approaches:
   - SWATTR
 conference_name: "15th European Conference on Software Architecture (ECSA 2021)"
 conference_url: https://conf.researchr.org/home/ecsa-2021
-published: true
 links:
   paper:
     springer: https://doi.org/10.1007/978-3-030-86044-8_7

_conferences/icsa23.md

@@ -17,7 +17,6 @@ approaches:
   - "Inconsistency Detection"
 conference_name: "20th IEEE International Conference on Software Architecture (ICSA 2023)"
 conference_url: https://icsa-conferences.org/2023/
-published: true
 links:
   paper:
     ieee: https://doi.org/10.1109/ICSA56044.2023.00021

_conferences/icsa25.md

@@ -18,7 +18,6 @@ approaches:
   - TransArC
 conference_name: "22nd IEEE International Conference on Software Architecture (ICSA 2025)"
 conference_url: https://conf.researchr.org/home/icsa-2025/
-published: true
 links:
   paper:
     ieee: https://doi.org/10.1109/ICSA65012.2025.00011

_conferences/icsa26.md

@@ -0,0 +1,43 @@
+---
+layout: publication
+permalink: /c/icsa26
+title: "Architecture in the Cradle: Early Warning of Architectural Decay with ArchGuard"
+description:
+publication: liu_architecture_2026
+featured: true
+year: 2026
+pub_short_name: "ICSA 2026"
+authors:
+  - haoyu_liu
+  - dominik_fuchss
+  - sophie_corallo
+  - maximilian_hummel
+  - jan_keim
+  - tobias_hey
+conference_name: "23rd IEEE International Conference on Software Architecture (ICSA 2026)"
+conference_url: https://conf.researchr.org/home/icsa-2026/
+in_press: true
+links:
+  paper:
+    kitopen: https://publikationen.bibliothek.kit.edu/1000191263
+  replication:
+    zenodo: https://doi.org/10.5281/zenodo.18891082
+    repo: https://github.com/ardoco/Replication-Package-ICSA26_Architecture-in-the-Cradle
+---
+
+![ArchGuard Overview](/assets/img/approaches/icsa26-archguard.svg){:width="75%" style="background-color: white; border-radius: 8px; padding: 10px; display: block; margin: 0 auto;"}
+
+## Abstract
+
+Architectural decay can manifest as the evolution of architectural smells, degrading integrity, and increasing maintenance costs.
+Existing techniques capture smells post hoc or predict on component level, acting too late or on too coarse a granularity.
+We investigate if the risk of introducing architectural smells can already be predicted when issues are opened.
+Thus, we propose an issue-level prediction approach that utilizes the semantic representations of Large Language Models (LLMs).
+
+To enable training and evaluation, we construct a dataset from three GitLab-hosted projects by linking issues to smells via smell-inducing changes.
+On this dataset, we train classifiers to identify high-risk issues and conduct an empirical study comparing seven different representations and nine classifiers.
+
+Our best-performing classifier (SVM with OpenAI embeddings) achieves F1-scores of up to 0.506, with a recall of about 0.74.
+This means that our approach can identify approximately 74% of smell-inducing issues before implementation begins.
+When design alternatives are still being considered. Our approach provides early warnings of potential architectural risks.
+This work shifts from reactive remediation to proactive quality assurance, raising awareness of potential architectural risks.

_conferences/icse24.md

@@ -21,7 +21,6 @@ approaches:
   - ArDoCode
 conference_name: "46th International Conference on Software Engineering (ICSE 2024)"
 conference_url: https://conf.researchr.org/home/icse-2024
-published: true
 links:
   paper:
     acm: https://doi.org/10.1145/3597503.3639130

_conferences/icse25.md

@@ -19,7 +19,6 @@ approaches:
   - LiSSA
 conference_name: "47th IEEE/ACM International Conference on Software Engineering (ICSE 2025)"
 conference_url: https://conf.researchr.org/home/icse-2025/
-published: true
 links:
   paper:
     ieee: https://doi.org/10.1109/ICSE55347.2025.00186

_conferences/refsq25.md

@@ -16,7 +16,6 @@ approaches:
   - LiSSA
 conference_name: "31st International Working Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2025)"
 conference_url: https://2025.refsq.org/
-published: true
 links:
   paper:
     kitopen: https://publikationen.bibliothek.kit.edu/1000179817

_data/authors.yml

@@ -17,6 +17,10 @@ tobias_hey:
   name: Tobias Hey
   orcid: "0000-0003-0381-1020"
 
+maximilian_hummel:
+  name: Maximilian Hummel
+  orcid: "0009-0001-4123-2786"
+
 claudius_kocher:
   name: Claudius Kocher
   orcid: null