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MODELS 2024
(
series
) /
Technical Track
/
Automated Derivation of UML Sequence Diagrams from User Stories: Unleashing the Power of Generative AI vs. Rule-Based Approach
FT
Who
Munima Jahan
,
Mohammad Mahdi Hassan
,
Reza Golpayegani
,
Golshid Ranjbaran
,
Chanchal K. Roy
,
Banani Roy
,
Kevin Schneider
Track
MODELS 2024 Technical Track
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When
Fri 27 Sep 2024 10:45 - 11:03 at
HS 1
-
MDE and AI (2)
Chair(s):
Sébastien Mosser
Munima Jahan
Mohammad Mahdi Hassan
Reza Golpayegani
Golshid Ranjbaran
Chanchal K. Roy
University of Saskatchewan, Canada
Canada
Banani Roy
University of Saskatchewan
Kevin Schneider
University of Saskatchewan
Program Display Configuration
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Use conference time zone: (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna
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(GMT-12:00) AoE (Anywhere On Earth)
(GMT-11:00) Midway Island, Samoa
(GMT-09:00) Hawaii-Aleutian
(GMT-10:00) Hawaii
(GMT-09:30) Marquesas Islands
(GMT-09:00) Gambier Islands
(GMT-08:00) Alaska
(GMT-07:00) Tijuana, Baja California
(GMT-08:00) Pitcairn Islands
(GMT-07:00) Pacific Time (US & Canada)
(GMT-06:00) Mountain Time (US & Canada)
(GMT-06:00) Chihuahua, La Paz, Mazatlan
(GMT-07:00) Arizona
(GMT-06:00) Saskatchewan, Central America
(GMT-05:00) Guadalajara, Mexico City, Monterrey
(GMT-05:00) Easter Island
(GMT-05:00) Central Time (US & Canada)
(GMT-04:00) Eastern Time (US & Canada)
(GMT-04:00) Cuba
(GMT-05:00) Bogota, Lima, Quito, Rio Branco
(GMT-04:00) Caracas
(GMT-03:00) Santiago
(GMT-04:00) La Paz
(GMT-03:00) Faukland Islands
(GMT-04:00) Manaus, Amazonas, Brazil
(GMT-03:00) Atlantic Time (Goose Bay)
(GMT-03:00) Atlantic Time (Canada)
(GMT-02:30) Newfoundland
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(GMT-03:00) Montevideo
(GMT-02:00) Miquelon, St. Pierre
(GMT-02:00) Greenland
(GMT-03:00) Buenos Aires
(GMT-03:00) Brasilia, Distrito Federal, Brazil
(GMT-02:00) Mid-Atlantic
(GMT-01:00) Cape Verde Is.
(GMT) Azores
(UTC) Coordinated Universal Time
(GMT+01:00) Belfast
(GMT+01:00) Dublin
(GMT+01:00) Lisbon
(GMT+01:00) London
(GMT) Monrovia, Reykjavik
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(GMT+02:00) Belgrade, Bratislava, Budapest, Ljubljana, Prague
(GMT+02:00) Brussels, Copenhagen, Madrid, Paris
(GMT+01:00) West Central Africa
(GMT+02:00) Windhoek
(GMT+03:00) Athens
(GMT+03:00) Beirut
(GMT+02:00) Cairo
(GMT+03:00) Gaza
(GMT+02:00) Harare, Pretoria
(GMT+03:00) Jerusalem
(GMT+03:00) Minsk
(GMT+03:00) Syria
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(GMT+11:00) Solomon Is., New Caledonia
(GMT+11:00) Magadan
(GMT+11:00) Norfolk Island
(GMT+12:00) Anadyr, Kamchatka
(GMT+12:00) Auckland, Wellington
(GMT+12:00) Fiji, Kamchatka, Marshall Is.
(GMT+12:45) Chatham Islands
(GMT+13:00) Nuku'alofa
(GMT+14:00) Kiritimati
The GMT offsets shown reflect the offsets
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Time Band
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Session Program
Fri 27 Sep
Displayed time zone:
Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna
change
10:45 - 12:30
MDE and AI (2)
Technical Track
at
HS 1
Chair(s):
Sébastien Mosser
McMaster University
10:45
18m
Talk
Automated Derivation of UML Sequence Diagrams from User Stories: Unleashing the Power of Generative AI vs. Rule-Based Approach
FT
Technical Track
Munima Jahan
,
Mohammad Mahdi Hassan
,
Reza Golpayegani
,
Golshid Ranjbaran
,
Chanchal K. Roy
University of Saskatchewan, Canada
,
Banani Roy
University of Saskatchewan
,
Kevin Schneider
University of Saskatchewan
11:06
18m
Talk
AI-Driven Consistency of SysML Diagrams
FT
Technical Track
Ludovic Apvrille
,
Bastien Sultan
Télécom Paris, Polytechnic Institute of Paris
11:27
18m
Talk
Toward Intelligent Generation of Tailored Graphical Concrete Syntax
FT
VISION
Technical Track
Meriem Ben Chaaben
Université de Montréal
,
Oussama Ben Sghaier
DIRO, Université de Montréal
,
Mouna Dhaouadi
University of Montreal
,
Nafisa Elrasheed
,
Ikram Darif
École de technologie supérieure (ÉTS)
,
Imen Jaoua
,
Bentley Oakes
Polytechnique Montréal
,
Eugene Syriani
Université de Montréal
,
Mohammad Hamdaqa
Polytechnique Montréal
DOI
Pre-print
11:48
18m
Talk
A DSL for Testing LLMs for Fairness and Bias
PT
Technical Track
Sergio Morales
Universitat Oberta de Catalunya
,
Robert Clarisó
Universitat Oberta de Catalunya
,
Jordi Cabot
Luxembourg Institute of Science and Technology
12:09
12m
Talk
Towards Runtime Monitoring for Responsible Machine Learning using Model-driven Engineering
FT
VISION
Technical Track
Hira Naveed
Monash University
,
John Grundy
Monash University
,
Chetan Arora
Monash University
,
Hourieh Khalajzadeh
Deakin University, Australia
,
Omar Haggag
Monash University, Australia
Link to publication
DOI
Pre-print
x
Sat 23 Nov 22:13