Facilitating the migration to the microservice architecture via model-driven reverse engineering and reinforcement learning (MODELS 2022 - Journal-first) - MODELS 2022

Sun 23 - Fri 28 October 2022 Montréal, Canada

Who

Shekoufeh Rahimi, MohammadHadi Dehghani, Massimo Tisi, Dalila Tamzalit

Track

MODELS 2022 Journal-first

Time Zone

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When

Thu 27 Oct 2022 16:15 - 16:37 at A-3502.1 - Applications II Chair(s): Wrong conf.researchr.org Account

Link to Publication

https://doi.org/10.1007/s10270-022-00977-3

Shekoufeh Rahimi

University of Isfahan

MohammadHadi Dehghani

Johannes Kepler University Linz

Austria

Massimo Tisi

IMT Atlantique, LS2N (UMR CNRS 6004)

France

Dalila Tamzalit

Time Zone

The program is currently displayed in (GMT-04:00) Eastern Time (US & Canada).

Use conference time zone: (GMT-04:00) Eastern Time (US & Canada)Select other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
The time band will also limit the events that are included in the personal iCalendar subscription service.

Display full programSpecify a time band

Session Program

Thu 27 Oct
Displayed time zone: Eastern Time (US & Canada) change

	15:30 - 17:00	Applications IITools & Demonstrations / Technical Track / Journal-first at A-3502.1 Chair(s): Wrong conf.researchr.org Account

	15:30 22m Talk		Digital Twin as Risk Free Experimentation Aid for Techno-socio-economic SystemsP&I Technical Track Souvik Barat Tata Consultancy Services Research, Vinay Kulkarni Tata Consultancy Services Research, Tony Clark Aston University, Balbir Barn Middlesex University, UK
	15:52 22m Talk		Digital TwinCity: A Holistic Approach towards Comparative Analysis of Business ProcessesDemo Tools & Demonstrations Shinobu Saito NTT
	16:15 22m Talk		Facilitating the migration to the microservice architecture via model-driven reverse engineering and reinforcement learningJ1st Journal-first Shekoufeh Rahimi University of Isfahan, MohammadHadi Dehghani Johannes Kepler University Linz, Massimo Tisi IMT Atlantique, LS2N (UMR CNRS 6004), Dalila Tamzalit Link to publication
	16:37 22m Talk		Towards Model-based Bias Mitigation in Machine LearningVirtualP&I Technical Track Alfa Yohannis University of York, Universitas Pradita, Dimitris Kolovos University of York