Interactive metamodel/model co-evolution using unsupervised learning and multi-objective search

Wael Kessentini; Vahid Alizadeh

doi:10.1145/3365438.3410966

Interactive metamodel/model co-evolution using unsupervised learning and multi-objective search

Wael Kessentini
, Vahid Alizadeh

DePaul University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings - 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2020
Publisher	Association for Computing Machinery, Inc
Pages	68-78
Number of pages	11
ISBN (Electronic)	9781450370196
DOIs	https://doi.org/10.1145/3365438.3410966
State	Published - Oct 16 2020
Event	23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2020 - Virtual, Online, Canada Duration: Oct 18 2020 → Oct 23 2020

Publication series

Name	Proceedings - 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2020

Conference

Conference	23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2020
Country/Territory	Canada
City	Virtual, Online
Period	10/18/20 → 10/23/20

ASJC Scopus Subject Areas

Software
Engineering (miscellaneous)

Keywords

interactive multi-objective search
metamodel/model co-evolution
search based software engineering

Access to Document

10.1145/3365438.3410966

Cite this

Kessentini, W., & Alizadeh, V. (2020). Interactive metamodel/model co-evolution using unsupervised learning and multi-objective search. In Proceedings - 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2020 (pp. 68-78). (Proceedings - 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2020). Association for Computing Machinery, Inc. https://doi.org/10.1145/3365438.3410966

Interactive metamodel/model co-evolution using unsupervised learning and multi-objective search. / Kessentini, Wael; Alizadeh, Vahid.
Proceedings - 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2020. Association for Computing Machinery, Inc, 2020. p. 68-78 (Proceedings - 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kessentini, W & Alizadeh, V 2020, Interactive metamodel/model co-evolution using unsupervised learning and multi-objective search. in Proceedings - 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2020. Proceedings - 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2020, Association for Computing Machinery, Inc, pp. 68-78, 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2020, Virtual, Online, Canada, 10/18/20. https://doi.org/10.1145/3365438.3410966

Kessentini W, Alizadeh V. Interactive metamodel/model co-evolution using unsupervised learning and multi-objective search. In Proceedings - 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2020. Association for Computing Machinery, Inc. 2020. p. 68-78. (Proceedings - 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2020). doi: 10.1145/3365438.3410966

Kessentini, Wael ; Alizadeh, Vahid. / Interactive metamodel/model co-evolution using unsupervised learning and multi-objective search. Proceedings - 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2020. Association for Computing Machinery, Inc, 2020. pp. 68-78 (Proceedings - 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2020).

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Interactive metamodel/model co-evolution using unsupervised learning and multi-objective search

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this