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Modeling structure and behavior of software systems plays a crucial role in the industrial practice of software engineering.
Personal Knowledge: Towards a Post Critical Philosophy
Michael Polanyi · 1958
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Design patterns: elements of reusable object-oriented software
Erich Gamma, Ralph Johnson, Richard Helm, Ralph E Johnson, and John Vlissides · 1995
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The 4+ 1 view model of architecture
Philippe B Kruchten · 1995
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The use of mmr, diversity-based reranking for reordering documents and producing summaries
Jaime Carbonell and Jade Goldstein · 1998
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Mastering simulink
James B Dabney and Thomas L Harman · 2004
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Fundamental theory for typed attributed graph transformation
Hartmut Ehrig, Ulrike Prange, and Gabriele Taentzer · 2004
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Model transformation by example
Dániel Varró · 2006
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Model-driven software evolution: A research agenda
Arie Van Deursen, Eelco Visser, and Jos Warmer · 2007
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Model differences in the eclipse modeling framework
Cédric Brun and Alfonso Pierantonio · 2008
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Constructing difference tools for models using the SiDiff framework
Maik Schmidt and Tilman Gloetzner · 2008
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EMF: eclipse modeling framework
Dave Steinberg, Frank Budinsky, Ed Merks, and Marcelo Paternostro · 2008
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Business process models as a showcase for syntax-based assistance in diagram editors
Steffen Mazanek and Mark Minas · 2009
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Generating correctness-preserving editing operations for diagram editors
Steffen Mazanek and Mark Minas · 2009
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Henshin: Advanced concepts and tools for in-place EMF model transformations
Thorsten Arendt, Enrico Biermann, Stefan Jurack, Christian Krause, and Gabriele Taentzer · 2010
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Towards domain-specific model editors with automatic model completion
Sagar Sen, Benoit Baudry, and Hans Vangheluwe · 2010
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Formal foundation of consistent EMF model transformations by algebraic graph transformation
Enrico Biermann, Claudia Ermel, and Gabriele Taentzer · 2012
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Facilitating reuse in model-based development with context-dependent model element recommendations
Lars Heinemann · 2012
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Recommending auto-completions for software modeling activities
Tobias Kuschke, Patrick Mäder, and Patrick Rempel · 2013
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A posteriori operation detection in evolving software models
Philip Langer, Manuel Wimmer, Petra Brosch, Markus Herrmannsdörfer, Martina Seidl, Konrad Wieland, and Gerti Kappel · 2013
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An efficient recommendation method for improving business process modeling
Ying Li, Bin Cao, Lida Xu, Jianwei Yin, Shuiguang Deng, Yuyu Yin, and Zhaohui Wu · 2013
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OMG Meta Object Facility (MOF) Core Specification, Version 2.4.1
OMG · 2013
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Generic model assist
Friedrich Steimann and Bastian Ulke · 2013
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A survey of model comparison approaches and applications
Matthew Stephan and James R Cordy · 2013
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Programmable controllers - part 3: Programming languages
IEC · 2014
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Calculation and Propagation of Model Changes based on User-Level Edit Operations: A Foundation for Version and Variant Management in Model-Driven Engineering
Timo Kehrer · 2015
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Model-driven engineering: A survey supported by the unified conceptual model
Alberto Rodrigues Da Silva · 2015
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A recommendation system to facilitate business process modeling
Shuiguang Deng, Dongjing Wang, Ying Li, Bin Cao, Jianwei Yin, Zhaohui Wu, and Mengchu Zhou · 2016
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An uml class recommender system for software design
Akil Elkamel, Mariem Gzara, and Hanêne Ben-Abdallah · 2016
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Automatically deriving the specification of model editing operations from meta-models
Timo Kehrer, Gabriele Taentzer, Michaela Rindt, and Udo Kelter · 2016
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Automatic change recommendation of models and meta models based on change histories
Stefan Kögel, Raffaela Groner, and Matthias Tichy · 2016
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Automatic inference of rule-based specifications of complex in-place model transformations
Timo Kehrer, Abdullah M Alshanqiti, and Reiko Heckel · 2017
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Recommender system for model driven software development
Stefan Kögel · 2017
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Rapmod—in situ auto-completion for graphical models
Tobias Kuschke and Patrick Mäder · 2017
History-based model repair recommendations
Manuel Ohrndorf, Christopher Pietsch, Udo Kelter, Lars Grunske, and Timo Kehrer · 2021
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Dominik Sobania, Martin Briesch, and Franz Rothlauf · 2021
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Learning domain-specific edit operations from model repositories with frequent subgraph mining
Christof Tinnes, Timo Kehrer, Joblin. Mitchell, Uwe Hohenstein, Andreas Biesdorf, and Sven Apel · 2021
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Natural language processing for requirements engineering: a systematic mapping study
Liping Zhao, Waad Alhoshan, Alessio Ferrari, Keletso J Letsholo, Muideen A Ajagbe, Erol-Valeriu Chioasca, and Riza T Batista-Navarro · 2021
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Few-shot training llms for project-specific code-summarization
Toufique Ahmed and Premkumar Devanbu · 2022
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Rule-based repair of emf models: An automated interactive approach
Nebras Nassar, Hendrik Radke, and Thorsten Arendt · 2017
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Automated generation of consistency-achieving model editors
Patrick Neubauer, Robert Bill, Tanja Mayerhofer, and Manuel Wimmer · 2017
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Unified modeling language (UML) version 2.5.1
OMG · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Domore–a recommender system for domain modeling
Henning Agt-Rickauer, Ralf-Detlef Kutsche, and Harald Sack · 2018
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Cognifying model-driven software engineering
Jordi Cabot, Robert Clarisó, Marco Brambilla, and Sébastien Gérard · 2018
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Recommender systems in model-driven engineering
Lissette Almonte, Esther Guerra, Iván Cantador, and Juan de Lara · 2022
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An empirical study on the usage of transformer models for code completion
Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Antonio Mastropaolo, Emad Aghajani, Denys Poshyvanyk, Massimiliano Di Penta, and Gabriele Bavota · 2022
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Finding with nemo: a recommender system to forecast the next modeling operations
Juri Di Rocco, Claudio Di Sipio, Phuong T Nguyen, Davide Di Ruscio, and Alfonso Pierantonio · 2022
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Modelset: a dataset for machine learning in model-driven engineering
José Antonio Hernández López, Javier Luis Cánovas Izquierdo, and Jesús Sánchez Cuadrado · 2022
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A systematic mapping study of source code representation for deep learning in software engineering
Hazem Peter Samoaa, Firas Bayram, Pasquale Salza, and Philipp Leitner · 2022
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No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence
Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, and Michael R Lyu · 2022
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Recommending metamodel concepts during modeling activities with pre-trained language models
Martin Weyssow, Houari Sahraoui, and Eugene Syriani · 2022
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A systematic evaluation of large language models of code
Frank F Xu, Uri Alon, Graham Neubig, and Vincent Josua Hellendoorn · 2022
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A systematic evaluation of large language models of code
Frank F. Xu, Uri Alon, Graham Neubig, and Vincent Josua Hellendoorn · 2022
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Simima: a virtual simulink intelligent modeling assistant: Simulink intelligent modeling assistance through machine learning and model clones
Bhisma Adhikari, Eric J Rapos, and Matthew Stephan · 2023
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Towards human-bot collaborative software architecting with chatgpt
Aakash Ahmad, Muhammad Waseem, Peng Liang, Mahdi Fahmideh, Mst Shamima Aktar, and Tommi Mikkonen · 2023
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On the assessment of generative ai in modeling tasks: an experience report with chatgpt and uml
Javier Cámara, Javier Troya, Lola Burgueño, and Antonio Vallecillo · 2023
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Towards using few-shot prompt learning for automating model completion
Meriem Ben Chaaben, Lola Burgueño, and Houari Sahraoui · 2023
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How is chatgpt’s behavior changing over time?
Lingjiao Chen, Matei Zaharia, and James Zou · 2023
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Large language models: the next frontier for variable discovery within metamorphic testing?
Tsigkanos Christos, Rani Pooja, Müller Sebastian, and Kehrer Timo · 2023
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Memorec: a recommender system for assisting modelers in specifying metamodels
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong T Nguyen, and Alfonso Pierantonio · 2023
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Morgan: a modeling recommender system based on graph kernel
Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, and Phuong T Nguyen · 2023
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Dome: An architecture for domain model evolution at runtime using nlp
Anderson Gomes and Paulo Henrique M Maia · 2023
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Large language models and simple, stupid bugs
Kevin Jesse, Toufique Ahmed, Premkumar T Devanbu, and Emily Morgan · 2023
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A reflection on the impact of model mining from github
Gregorio Robles, Michel RV Chaudron, Rodi Jolak, and Regina Hebig · 2023
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Mining domain-specific edit operations from model repositories with applications to semantic lifting of model differences and change profiling
Christof Tinnes, Timo Kehrer, Mitchell Joblin, Uwe Hohenstein, Andreas Biesdorf, and Sven Apel · 2023
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