Ausgabe 3/2022
Inhalt (20 Artikel)
Explicit versus implicit models: What are good languages for modeling?
- Open Access
- Editorial
Jeff Gray, Bernhard Rumpe
Special section of BPMDS’2020 business process management meets data
- Guest Editorial
Pnina Soffer, Selmin Nurcan
Interactive log-delta analysis using multi-range filtering
- Open Access
- Special Section Paper
Maxim Vidgof, Djordje Djurica, Saimir Bala, Jan Mendling
Analysing factors impacting BPMS performance: a case of a challenged technology adoption
- Special Section Paper
Lisa F. Seymour, Ashley Koopman
aCHAT-WF: Generating conversational agents for teaching business process models
- Open Access
- Special Section Paper
Donya Rooein, Devis Bianchini, Francesco Leotta, Massimo Mecella, Paolo Paolini, Barbara Pernici
On the adoption of blockchain for business process monitoring
- Open Access
- Special Section Paper
Claudio Di Ciccio, Giovanni Meroni, Pierluigi Plebani
An exception handling framework for case management
- Open Access
- Special Section Paper
Kerstin Andree, Sven Ihde, Mathias Weske, Luise Pufahl
Guest editorial to the theme section on AI-enhanced model-driven engineering
- Guest Editorial
Lola Burgueño, Jordi Cabot, Manuel Wimmer, Steffen Zschaler
ModelSet: a dataset for machine learning in model-driven engineering
- Open Access
- Theme Section Paper
José Antonio Hernández López, Javier Luis Cánovas Izquierdo, Jesús Sánchez Cuadrado
A model-driven approach to machine learning and software modeling for the IoT
- Open Access
- Theme Section Paper
Armin Moin, Moharram Challenger, Atta Badii, Stephan Günnemann
Automated, interactive, and traceable domain modelling empowered by artificial intelligence
- Theme Section Paper
Rijul Saini, Gunter Mussbacher, Jin L. C. Guo, Jörg Kienzle
AI-driven streamlined modeling: experiences and lessons learned from multiple domains
- Theme Section Paper
Sagar Sunkle, Krati Saxena, Ashwini Patil, Vinay Kulkarni
Recommending metamodel concepts during modeling activities with pre-trained language models
- Theme Section Paper
Martin Weyssow, Houari Sahraoui, Eugene Syriani
Event-driven temporal models for explanations - ETeMoX: explaining reinforcement learning
- Open Access
- Theme Section Paper
Juan Marcelo Parra-Ullauri, Antonio García-Domínguez, Nelly Bencomo, Changgang Zheng, Chen Zhen, Juan Boubeta-Puig, Guadalupe Ortiz, Shufan Yang
Facilitating the migration to the microservice architecture via model-driven reverse engineering and reinforcement learning
- Theme Section Paper
MohammadHadi Dehghani, Shekoufeh Kolahdouz-Rahimi, Massimo Tisi, Dalila Tamzalit
AI-powered model repair: an experience report—lessons learned, challenges, and opportunities
- Open Access
- Theme Section Paper
Angela Barriga, Adrian Rutle, Rogardt Heldal
Promoting social diversity for the automated learning of complex MDE artifacts
- Theme Section Paper
Edouard R. Batot, Houari Sahraoui
DEVS-based formalism for the modeling of routing processes
- Regular Paper
María Julia Blas, Horacio Leone, Silvio Gonnet
Model-based ideal testing of hardware description language (HDL) programs
- Regular Paper
Onur Kilincceker, Ercument Turk, Fevzi Belli, Moharram Challenger
A generic approach to detect design patterns in model transformations using a string-matching algorithm
- Regular Paper
Chihab eddine Mokaddem, Houari Sahraoui, Eugene Syriani
