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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/243ef156482932a2c6bf19b98003138f5/klinaku",         
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         "label" : "LLM-Based Explainability at Design Time: Detecting Elasticity Antipatterns in Software Architectures",
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         "author": [ 
            "Floriment Klinaku","Jonas Lammert","Steffen Becker"
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            	{"first" : "Jonas",	"last" : "Lammert"},
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         "editor": [ 
            "Domenico Bianculli","Hassan Sartaj","Vasilios Andrikopoulos","Cesare Pautasso","Tommi Mikkonen","Jennifer Perez","Tomás Bures","Martina De Sanctis","Henry Muccini","Elena Navarro","Mohamed Soliman","Uwe Zdun"
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            	{"first" : "Domenico",	"last" : "Bianculli"},
            	{"first" : "Hassan",	"last" : "Sartaj"},
            	{"first" : "Vasilios",	"last" : "Andrikopoulos"},
            	{"first" : "Cesare",	"last" : "Pautasso"},
            	{"first" : "Tommi",	"last" : "Mikkonen"},
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            	{"first" : "Martina",	"last" : "De Sanctis"},
            	{"first" : "Henry",	"last" : "Muccini"},
            	{"first" : "Elena",	"last" : "Navarro"},
            	{"first" : "Mohamed",	"last" : "Soliman"},
            	{"first" : "Uwe",	"last" : "Zdun"}
         ],
         "pages": "141--154","abstract": "As software architecture grows in complexity, understanding the implications of design decisions becomes increasingly challenging. Large Language Models (LLMs) offer new opportunities for enhancing explainability during architecture modeling and evaluation by generating natural language explanations that support comprehension, learning, and decision-making. This potential is particularly valuable in domains with increased technical complexity---such as elasticity in cloud-based systems. In this work, we integrate and evaluate LLM-based explanations in supporting design-time evaluation of software architectures, focusing on the detection of elasticity antipatterns. Elasticity antipatterns are flawed autoscaling policy configurations that potentially lead to inefficient or unreliable system behavior. We extend an existing modeling and simulation approach with a novel feature that generates contextualized, textual explanations derived from simulation data. These explanations aim to guide architects in understanding scaling behaviors, identifying design issues, and refining their models. Our contribution includes the conceptualization of explanation types relevant to elasticity modeling, the design of prompt templates to elicit effective responses from LLMs, and an evaluation of the generated explanations' usefulness and quality. Results indicate that LLM-assisted feedback enhances the interpretability of elasticity models and supports the early identification of antipatterns, albeit with some limitations in precision and conciseness with only a slight agreement between expert evaluations (\\$\\$\\backslashkappa \\$\\$$\\kappa$ = 0.202). The explanation quality across types of explanations differs. Even though most explanations contain factual information, a large portion was deemed as imprecise especially in explaining problem and solution, the policy and target and service level objectives.",
         "isbn" : "978-3-032-04403-7",
         
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         "label" : "LLM-Based Explainability at Design Time: Detecting Elasticity Antipatterns in Software Architectures",
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         "booktitle": "Software Architecture. ECSA 2025 Tracks and Workshops","publisher":"Springer Nature Switzerland","address":"Cham",
         "year": "2025", 
         "url": "", 
         
         "author": [ 
            "Floriment Klinaku","Jonas Lammert","Steffen Becker"
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            	{"first" : "Floriment",	"last" : "Klinaku"},
            	{"first" : "Jonas",	"last" : "Lammert"},
            	{"first" : "Steffen",	"last" : "Becker"}
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         "editor": [ 
            "Domenico Bianculli","Hassan Sartaj","Vasilios Andrikopoulos","Cesare Pautasso","Tommi Mikkonen","Jennifer Perez","Tomás Bures","Martina De Sanctis","Henry Muccini","Elena Navarro","Mohamed Soliman","Uwe Zdun"
         ],
         "editors": [
         	
            	{"first" : "Domenico",	"last" : "Bianculli"},
            	{"first" : "Hassan",	"last" : "Sartaj"},
            	{"first" : "Vasilios",	"last" : "Andrikopoulos"},
            	{"first" : "Cesare",	"last" : "Pautasso"},
            	{"first" : "Tommi",	"last" : "Mikkonen"},
            	{"first" : "Jennifer",	"last" : "Perez"},
            	{"first" : "Tomás",	"last" : "Bures"},
            	{"first" : "Martina",	"last" : "De Sanctis"},
            	{"first" : "Henry",	"last" : "Muccini"},
            	{"first" : "Elena",	"last" : "Navarro"},
            	{"first" : "Mohamed",	"last" : "Soliman"},
            	{"first" : "Uwe",	"last" : "Zdun"}
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         "pages": "141--154","abstract": "As software architecture grows in complexity, understanding the implications of design decisions becomes increasingly challenging. Large Language Models (LLMs) offer new opportunities for enhancing explainability during architecture modeling and evaluation by generating natural language explanations that support comprehension, learning, and decision-making. This potential is particularly valuable in domains with increased technical complexity---such as elasticity in cloud-based systems. In this work, we integrate and evaluate LLM-based explanations in supporting design-time evaluation of software architectures, focusing on the detection of elasticity antipatterns. Elasticity antipatterns are flawed autoscaling policy configurations that potentially lead to inefficient or unreliable system behavior. We extend an existing modeling and simulation approach with a novel feature that generates contextualized, textual explanations derived from simulation data. These explanations aim to guide architects in understanding scaling behaviors, identifying design issues, and refining their models. Our contribution includes the conceptualization of explanation types relevant to elasticity modeling, the design of prompt templates to elicit effective responses from LLMs, and an evaluation of the generated explanations' usefulness and quality. Results indicate that LLM-assisted feedback enhances the interpretability of elasticity models and supports the early identification of antipatterns, albeit with some limitations in precision and conciseness with only a slight agreement between expert evaluations (\\$\\$\\backslashkappa \\$\\$$\\kappa$ = 0.202). The explanation quality across types of explanations differs. Even though most explanations contain factual information, a large portion was deemed as imprecise especially in explaining problem and solution, the policy and target and service level objectives.",
         "isbn" : "978-3-032-04403-7",
         
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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/246685ffbe9c8656d9ce1ac5215778642/roberta.toscano",         
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            "CAD.","Computer-aided","Data","Datenhaltung.","Design","Entwurf.","Integrated","VLSI.","Very","and","base","circuits.","construction.","design.","importzotero","integration.","large","management","processing.","scale"
         ],
         
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         "pub-type": "phdthesis",
         "address":"Stuttgart",
         "year": "1990", 
         "url": "", 
         
         "author": [ 
            "Johannes [Verfasser/in] Brauer"
         ],
         "authors": [
         	
            	{"first" : "Johannes [Verfasser/in]",	"last" : "Brauer"}
         ],
         "note": "ISBN: 3519024985\nSeries: Leitfäden der angewandten Informatik",
         "language" : "Deutsch",
         
         "bibtexKey": "brauer_datenhaltung_1990"

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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2a9f6202dbecd5557e77c5501e3371927/roberta.toscano",         
         "tags" : [
            "Design","Entwurf.","Integrated","VLSI.","Very","and","circuits.","construction","importzotero","integration.","large","scale"
         ],
         
         "intraHash" : "a9f6202dbecd5557e77c5501e3371927",
         "interHash" : "0a05a4e0abc203bfa9f76b720d249693",
         "label" : "Entwurf und Technologie hochintegrierter Schaltungen: mit 186 Bildern und 25 Tabellen",
         "user" : "roberta.toscano",
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         "date" : "2024-05-27 08:58:38",
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         "series": "Leitfäden und Monographien der Informatik","publisher":"B. G. Teubner","address":"Stuttgart",
         "year": "1989", 
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         "editor": [ 
            "Hans-Ulrich [Verfasser/in] Post"
         ],
         "editors": [
         	
            	{"first" : "Hans-Ulrich [Verfasser/in]",	"last" : "Post"}
         ],
         
         "isbn" : "3-519-02267-2",
         
         "language" : "Deutsch",
         
         "bibtexKey": "post_entwurf_1989"

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      {
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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/200e0dbda97f4facc0ce3ac1e32918e72/roberta.toscano",         
         "tags" : [
            "Design","Entwurf.","Integrated","VLSI.","Very","and","circuits.","construction","importzotero","integration.","large","scale"
         ],
         
         "intraHash" : "00e0dbda97f4facc0ce3ac1e32918e72",
         "interHash" : "d92184ced2952236dccd90dfed7c29e9",
         "label" : "Einführung in den VLSI-Entwurf",
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         "series": "Leitfäden und Monographien der Informatik","publisher":"Teubner","address":"Stuttgart",
         "year": "1989", 
         "url": "", 
         
         "editor": [ 
            "Reiner [Verfasser/in] Kolla","Paul Molitor","Hans G. Osthof","Hans Georg Osthof"
         ],
         "editors": [
         	
            	{"first" : "Reiner [Verfasser/in]",	"last" : "Kolla"},
            	{"first" : "Paul",	"last" : "Molitor"},
            	{"first" : "Hans G.",	"last" : "Osthof"},
            	{"first" : "Hans Georg",	"last" : "Osthof"}
         ],
         
         "isbn" : "3-519-02273-7",
         
         "language" : "Deutsch",
         
         "bibtexKey": "kolla_einfuhrung_1989"

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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/21c7d87ad2bd290007748dfcec232ce04/roberta.toscano",         
         "tags" : [
            "/","Algorithms.","Combinatorial","Computational","Design","Design.","Integrated","Kombinatorische","Layout","Mikroelektronik.","Optimierung","Optimierung.","Very","and","circuit","circuits","circuits.","complexity.","construction.","importzotero","integration","integration.","large","layout.","optimization.","scale"
         ],
         
         "intraHash" : "1c7d87ad2bd290007748dfcec232ce04",
         "interHash" : "77acc865515ba3c0bd523174f241ea8e",
         "label" : "Combinatorial algorithms for integrated circuit layout",
         "user" : "roberta.toscano",
         "description" : "",
         "date" : "2024-05-27 08:58:38",
         "changeDate" : "2024-05-27 08:58:38",
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         "pub-type": "book",
         "series": "Applicable theory in computer science","publisher":"Teubner [u.a.]","address":"Stuttgart [u.a.]",
         "year": "1990", 
         "url": "", 
         
         "editor": [ 
            "Thomas [Verfasser/in] Lengauer"
         ],
         "editors": [
         	
            	{"first" : "Thomas [Verfasser/in]",	"last" : "Lengauer"}
         ],
         
         "isbn" : "0-471-92838-0",
         
         "language" : "Englisch",
         
         "bibtexKey": "lengauer_combinatorial_1990"

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      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/22603b96cfe5242f43d948ad671315d9f/joy",         
         "tags" : [
            "Convolutional","GoogLeNet","Image","Large","ac","networks","neural","recognition","wood"
         ],
         
         "intraHash" : "2603b96cfe5242f43d948ad671315d9f",
         "interHash" : "c82bcfa3fbb1be988fe518f430f5fc0d",
         "label" : "Transfer learning achieves high recall for object classification in fluvial environments with limited data",
         "user" : "joy",
         "description" : "",
         "date" : "2024-04-29 10:17:39",
         "changeDate" : "2024-04-29 10:31:17",
         "count" : 3,
         "pub-type": "inproceedings",
         "journal": "Geomorphology",
         "year": "2024", 
         "url": "https://www.sciencedirect.com/science/article/pii/S0169555X24001351", 
         
         "author": [ 
            "Sebastian Schwindt","Lisa Meisinger","Beatriz Negreiros","Tim Schneider","Wolfgang Nowak"
         ],
         "authors": [
         	
            	{"first" : "Sebastian",	"last" : "Schwindt"},
            	{"first" : "Lisa",	"last" : "Meisinger"},
            	{"first" : "Beatriz",	"last" : "Negreiros"},
            	{"first" : "Tim",	"last" : "Schneider"},
            	{"first" : "Wolfgang",	"last" : "Nowak"}
         ],
         "volume": "455","pages": "109185","abstract": "Field surveys to collect data from fluvial ecosystems traditionally focus on specific phenomena related to geomorphology or hydrology. Low-cost unmanned aerial vehicles (UAVs) additionally empower the fast and massive collection of airborne photogrammetry, providing geospatially explicit information. This remote sensing data complements field surveys by offering contextual information on geomorphological conditions, including digital terrain models. AI-based image recognition can augment contextual information to extrapolate archetypal object classes through name labels, such as \u201Cgravel\u201D, \u201Csand\u201D, \u201Cplant\u201D, or \u201Clarge wood\u201D. However, obtaining sufficient ground truth data for these classifications, particularly in morphodynamic fluvial environments, is challenging and induces high costs. This study introduces a transfer learning approach to address the challenge of low data availability, enabling AI-based mapping of complex objects in fluvial landscapes. We leverage the learned general structure of a deep convolutional neural network (CNN) pre-trained on a broad range of images. The fixed latent features of the pre-trained CNN stem from GoogLeNet. A fixed feature extractor serves to classify objects with limited data amounts. Satisfactory performance is measured with a recall rate, expressing the ability of a model to find all occurrences of a class on an image. High spatial heterogeneity in the locations of measurements on the x-y plane improves model performance. With a minimum of 400 labeled instances, the model achieves a satisfactory 93.75-% recall for a \u201Clarge wood\u201D target class, providing evidence of the effectiveness of transfer learning in remote sensing for geomorphological studies. This ability to detect large woods in river environments is critical to restoration efforts as it helps create fish habitat, which is essential to supporting biodiversity.",
         "issn" : "0169-555X",
         
         "language" : "en",
         
         "doi" : "https://doi.org/10.1016/j.geomorph.2024.109185",
         
         "bibtexKey": "SCHWINDT2024109185"

      }
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      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/24a6e52ba8bf55a028a9b2cc92101056d/thilohagendorff",         
         "tags" : [
            "behavior;psychology","language","large","models;machine"
         ],
         
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         "interHash" : "e9bfd0d44282a2edbbe9fc459efe8c04",
         "label" : "Machine Psychology: Investigating Emergent Capabilities and Behavior in Large Language Models Using Psychological Methods",
         "user" : "thilohagendorff",
         "description" : "",
         "date" : "2024-01-31 09:41:13",
         "changeDate" : "2024-03-01 12:09:30",
         "count" : 2,
         "pub-type": "article",
         "journal": "arXiv",
         "year": "2023", 
         "url": "", 
         
         "author": [ 
            "Thilo Hagendorff"
         ],
         "authors": [
         	
            	{"first" : "Thilo",	"last" : "Hagendorff"}
         ],
         "pages": "1--15","abstract": "Large language models (LLMs) are currently at the forefront of intertwining AI systems with human communication and everyday life. Due to rapid technological advances and their extreme versatility, LLMs nowadays have millions of users and are at the cusp of being the main go-to technology for information retrieval, content generation, problem-solving, etc. Therefore, it is of great importance to thoroughly assess and scrutinize their capabilities. Due to increasingly complex and novel behavioral patterns in current LLMs, this can be done by treating them as participants in psychology experiments that were originally designed to test humans. For this purpose, the paper introduces a new field of research called \\textquotedblmachine psychology\\textquotedbl. The paper outlines how different subfields of psychology can inform behavioral tests for LLMs. It defines methodological standards for machine psychology research, especially by focusing on policies for prompt designs. Additionally, it describes how behavioral patterns discovered in LLMs are to be interpreted. In sum, machine psychology aims to discover emergent abilities in LLMs that cannot be detected by most traditional natural language processing benchmarks.",
         "bibtexKey": "Hagendorff.2023e"

      }
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            "350","Applied","Large","MVA","Monitoring","ODAF\u2013Cooled","Power","Thermal","Transformers","Unit"
         ],
         
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         "interHash" : "7694a309dcdcdb89e56ca770c55dbfe4",
         "label" : "New Approach in Thermal Monitoring of Large Power Transformers Applied on a 350 MVA ODAF\u2013Cooled Unit",
         "user" : "annettegugel",
         "description" : "",
         "date" : "2020-08-10 13:55:45",
         "changeDate" : "2020-08-10 11:55:45",
         "count" : 1,
         "pub-type": "proceedings",
         
         "year": "2004", 
         "url": "https://www.ieh.uni-stuttgart.de/dokumente/publikationen/2004_aptadm_cardillo.pdf", 
         
         "author": [ 
            "Enzo Cardillo","Kurt Feser"
         ],
         "authors": [
         	
            	{"first" : "Enzo",	"last" : "Cardillo"},
            	{"first" : "Kurt",	"last" : "Feser"}
         ],
         
         "eventtitle" : "APTADM 2004",
         
         "venue" : "Wroclaw, Poland",
         
         "eventdate" : "September 15-17",
         
         "bibtexKey": "cardillo2004approach"

      }
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      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2bf4ea9b51a0d03d4d92dc4649c06beef/annettegugel",         
         "tags" : [
            "Design","interconnections","large","power","transformer","winding\u2013bushing"
         ],
         
         "intraHash" : "bf4ea9b51a0d03d4d92dc4649c06beef",
         "interHash" : "d1488306f3d9727ac724b40cc1c5f290",
         "label" : "Design of the winding\u2013bushing interconnections in large power transformers",
         "user" : "annettegugel",
         "description" : "",
         "date" : "2020-07-21 13:39:07",
         "changeDate" : "2020-07-21 11:39:07",
         "count" : 1,
         "pub-type": "article",
         "journal": "Electrical Engineering (Archiv für Elektrotechnik)",
         "year": "2006", 
         "url": "", 
         
         "author": [ 
            "Z. Radakovic","Enzo Cardillo","Michael Schäfer","Kurt Feser"
         ],
         "authors": [
         	
            	{"first" : "Z.",	"last" : "Radakovic"},
            	{"first" : "Enzo",	"last" : "Cardillo"},
            	{"first" : "Michael",	"last" : "Schäfer"},
            	{"first" : "Kurt",	"last" : "Feser"}
         ],
         "volume": "88","number": "3","pages": "183-190",
         "bibtexKey": "radakovic2006design"

      }
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      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/262eed45dedd7ab44f3a1297af5c2b2cb/annettegugel",         
         "tags" : [
            "Capacitor","Damped","Divider","Large","Measurement","Non-ideal","Parameter","Response","Step","Time","Uncertainties","Voltage"
         ],
         
         "intraHash" : "62eed45dedd7ab44f3a1297af5c2b2cb",
         "interHash" : "f560710e08ba31507e75654b7028220d",
         "label" : "The Voltage and Time Parameter Measurement Uncertainties of a Large Damped Capacitor Divider due to its Non-ideal Step Response",
         "user" : "annettegugel",
         "description" : "",
         "date" : "2020-07-13 15:03:04",
         "changeDate" : "2020-07-13 13:03:04",
         "count" : 1,
         "pub-type": "conference",
         
         "year": "2007", 
         "url": "https://www.ieh.uni-stuttgart.de/dokumente/publikationen/2007_Pfeffer_T10-499.pdf", 
         
         "author": [ 
            "Yi Li","J. Rungis","Anne Pfeffer"
         ],
         "authors": [
         	
            	{"first" : "Yi",	"last" : "Li"},
            	{"first" : "J.",	"last" : "Rungis"},
            	{"first" : "Anne",	"last" : "Pfeffer"}
         ],
         
         "eventtitle" : "15th International Symposium on High Voltage Engineering",
         
         "venue" : "Ljubljana, Slovenia",
         
         "eventdate" : "August 27-31",
         
         "bibtexKey": "li2007voltage"

      }
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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/208785f18097bff43b9f88439cf2d0959/annettegugel",         
         "tags" : [
            "Investigation","Large","Power","Step","Thermal-Hydraulic","Transformer","Up"
         ],
         
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