Volume 21, issue 3, June 2022

20 articles in this issue

Explicit versus implicit models: What are good languages for modeling?

Authors
- Jeff Gray
- Bernhard Rumpe
- Content type: Editorial
- Open Access
- Published: 07 April 2022
- Pages: 839 - 841
Special section of BPMDS’2020 business process management meets data

Authors
- Pnina Soffer
- Selmin Nurcan
- Content type: Guest Editorial
- Published: 13 April 2022
- Pages: 843 - 845
Interactive log-delta analysis using multi-range filtering

Authors (first, second and last of 4)
- Maxim Vidgof
- Djordje Djurica
- Jan Mendling
- Content type: Special Section Paper
- Open Access
- Published: 14 September 2021
- Pages: 847 - 868
Analysing factors impacting BPMS performance: a case of a challenged technology adoption

Authors
- Lisa F. Seymour
- Ashley Koopman
- Content type: Special Section Paper
- Published: 07 September 2021
- Pages: 869 - 890
aCHAT-WF: Generating conversational agents for teaching business process models

Authors (first, second and last of 6)
- Donya Rooein
- Devis Bianchini
- Barbara Pernici
- Content type: Special Section Paper
- Open Access
- Published: 08 October 2021
- Pages: 891 - 914
On the adoption of blockchain for business process monitoring

Authors
- Claudio Di Ciccio
- Giovanni Meroni
- Pierluigi Plebani
- Content type: Special Section Paper
- Open Access
- Published: 19 January 2022
- Pages: 915 - 937
An exception handling framework for case management

Authors (first, second and last of 4)
- Kerstin Andree
- Sven Ihde
- Luise Pufahl
- Content type: Special Section Paper
- Open Access
- Published: 08 April 2022
- Pages: 939 - 962
Guest editorial to the theme section on AI-enhanced model-driven engineering

Authors (first, second and last of 4)
- Lola Burgueño
- Jordi Cabot
- Steffen Zschaler
- Content type: Guest Editorial
- Published: 11 March 2022
- Pages: 963 - 965
ModelSet: a dataset for machine learning in model-driven engineering

Authors
- José Antonio Hernández López
- Javier Luis Cánovas Izquierdo
- Jesús Sánchez Cuadrado
- Content type: Theme Section Paper
- Open Access
- Published: 17 October 2021
- Pages: 967 - 986
A model-driven approach to machine learning and software modeling for the IoT

Authors (first, second and last of 4)
- Armin Moin
- Moharram Challenger
- Stephan Günnemann
- Content type: Theme Section Paper
- Open Access
- Published: 19 January 2022
- Pages: 987 - 1014
Automated, interactive, and traceable domain modelling empowered by artificial intelligence

Authors (first, second and last of 4)
- Rijul Saini
- Gunter Mussbacher
- Jörg Kienzle
- Content type: Theme Section Paper
- Published: 08 January 2022
- Pages: 1015 - 1045
AI-driven streamlined modeling: experiences and lessons learned from multiple domains

Authors (first, second and last of 4)
- Sagar Sunkle
- Krati Saxena
- Vinay Kulkarni
- Content type: Theme Section Paper
- Published: 19 February 2022
- Pages: 1 - 23
Recommending metamodel concepts during modeling activities with pre-trained language models

Authors
- Martin Weyssow
- Houari Sahraoui
- Eugene Syriani
- Content type: Theme Section Paper
- Published: 12 February 2022
- Pages: 1071 - 1089
Event-driven temporal models for explanations - ETeMoX: explaining reinforcement learning

Authors (first, second and last of 8)
- Juan Marcelo Parra-Ullauri
- Antonio García-Domínguez
- Shufan Yang
- Content type: Theme Section Paper
- Open Access
- Published: 18 December 2021
- Pages: 1091 - 1113
Facilitating the migration to the microservice architecture via model-driven reverse engineering and reinforcement learning

Authors (first, second and last of 4)
- MohammadHadi Dehghani
- Shekoufeh Kolahdouz-Rahimi
- Dalila Tamzalit
- Content type: Theme Section Paper
- Published: 16 February 2022
- Pages: 1115 - 1133
AI-powered model repair: an experience report—lessons learned, challenges, and opportunities

Authors
- Angela Barriga
- Adrian Rutle
- Rogardt Heldal
- Content type: Theme Section Paper
- Open Access
- Published: 22 February 2022
- Pages: 1135 - 1157
Promoting social diversity for the automated learning of complex MDE artifacts

Authors
- Edouard R. Batot
- Houari Sahraoui
- Content type: Theme Section Paper
- Published: 19 January 2022
- Pages: 1159 - 1178
DEVS-based formalism for the modeling of routing processes

Authors
- María Julia Blas
- Horacio Leone
- Silvio Gonnet
- Content type: Regular Paper
- Published: 31 October 2021
- Pages: 1179 - 1208
Model-based ideal testing of hardware description language (HDL) programs

Authors (first, second and last of 4)
- Onur Kilincceker
- Ercument Turk
- Moharram Challenger
- Content type: Regular Paper
- Published: 10 November 2021
- Pages: 1209 - 1240
A generic approach to detect design patterns in model transformations using a string-matching algorithm

Authors
- Chihab eddine Mokaddem
- Houari Sahraoui
- Eugene Syriani
- Content type: Regular Paper
- Published: 15 November 2021
- Pages: 1241 - 1269

Volume 21, issue 3, June 2022

Explicit versus implicit models: What are good languages for modeling?

Special section of BPMDS’2020 business process management meets data

Interactive log-delta analysis using multi-range filtering

Analysing factors impacting BPMS performance: a case of a challenged technology adoption

aCHAT-WF: Generating conversational agents for teaching business process models

On the adoption of blockchain for business process monitoring

An exception handling framework for case management

Guest editorial to the theme section on AI-enhanced model-driven engineering

ModelSet: a dataset for machine learning in model-driven engineering

A model-driven approach to machine learning and software modeling for the IoT

Automated, interactive, and traceable domain modelling empowered by artificial intelligence

AI-driven streamlined modeling: experiences and lessons learned from multiple domains

Recommending metamodel concepts during modeling activities with pre-trained language models

Event-driven temporal models for explanations - ETeMoX: explaining reinforcement learning

Facilitating the migration to the microservice architecture via model-driven reverse engineering and reinforcement learning

AI-powered model repair: an experience report—lessons learned, challenges, and opportunities

Promoting social diversity for the automated learning of complex MDE artifacts

DEVS-based formalism for the modeling of routing processes

Model-based ideal testing of hardware description language (HDL) programs

A generic approach to detect design patterns in model transformations using a string-matching algorithm

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Volume 21, issue 3, June 2022

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