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