On the value of quality attributes for refactoring ATL model transformations: A multi-objective approach

Bader Alkhazi; Chaima Abid; Marouane Kessentini; Manuel Wimmer

doi:10.1016/j.infsof.2019.106243

On the value of quality attributes for refactoring ATL model transformations: A multi-objective approach

Bader Alkhazi, Chaima Abid, Marouane Kessentini, Manuel Wimmer

Institute of Business Informatics - Software Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

Model transformations play a fundamental role in Model-Driven Engineering (MDE) as they are used to manipulate models and to transform them between source and target metamodels. However, model transformation programs lack significant support to maintain good quality which is in contrast to established programming paradigms such as object-oriented programming. In order to improve the quality of model transformations, the majority of existing studies suggest manual support for the developers to execute a number of refactoring types on model transformation programs. Other recent studies aimed to automate the refactoring of model transformation programs, mostly focusing on the ATLAS Transformation Language (ATL), by improving mainly few quality metrics using a number of refactoring types.

Original language	English
Article number	106243
Number of pages	10
Journal	Information and Software Technology
Volume	120
DOIs	https://doi.org/10.1016/j.infsof.2019.106243
Publication status	Published - 2020

Fields of science

202017 Embedded systems
102002 Augmented reality
102006 Computer supported cooperative work (CSCW)
102015 Information systems
102020 Medical informatics
102022 Software development
102034 Cyber-physical systems
201132 Computational engineering
201305 Traffic engineering
207409 Navigation systems
502032 Quality management
502050 Business informatics
503015 Subject didactics of technical sciences

JKU Focus areas

Digital Transformation

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10.1016/j.infsof.2019.106243

Cite this

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title = "On the value of quality attributes for refactoring ATL model transformations: A multi-objective approach",

abstract = "Model transformations play a fundamental role in Model-Driven Engineering (MDE) as they are used to manipulate models and to transform them between source and target metamodels. However, model transformation programs lack significant support to maintain good quality which is in contrast to established programming paradigms such as object-oriented programming. In order to improve the quality of model transformations, the majority of existing studies suggest manual support for the developers to execute a number of refactoring types on model transformation programs. Other recent studies aimed to automate the refactoring of model transformation programs, mostly focusing on the ATLAS Transformation Language (ATL), by improving mainly few quality metrics using a number of refactoring types.",

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year = "2020",

doi = "10.1016/j.infsof.2019.106243",

language = "English",

volume = "120",

journal = "Information and Software Technology",

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AU - Alkhazi, Bader

AU - Abid, Chaima

AU - Kessentini, Marouane

AU - Wimmer, Manuel

PY - 2020

Y1 - 2020

N2 - Model transformations play a fundamental role in Model-Driven Engineering (MDE) as they are used to manipulate models and to transform them between source and target metamodels. However, model transformation programs lack significant support to maintain good quality which is in contrast to established programming paradigms such as object-oriented programming. In order to improve the quality of model transformations, the majority of existing studies suggest manual support for the developers to execute a number of refactoring types on model transformation programs. Other recent studies aimed to automate the refactoring of model transformation programs, mostly focusing on the ATLAS Transformation Language (ATL), by improving mainly few quality metrics using a number of refactoring types.

AB - Model transformations play a fundamental role in Model-Driven Engineering (MDE) as they are used to manipulate models and to transform them between source and target metamodels. However, model transformation programs lack significant support to maintain good quality which is in contrast to established programming paradigms such as object-oriented programming. In order to improve the quality of model transformations, the majority of existing studies suggest manual support for the developers to execute a number of refactoring types on model transformation programs. Other recent studies aimed to automate the refactoring of model transformation programs, mostly focusing on the ATLAS Transformation Language (ATL), by improving mainly few quality metrics using a number of refactoring types.

UR - https://www.scopus.com/pages/publications/85077241736

U2 - 10.1016/j.infsof.2019.106243

DO - 10.1016/j.infsof.2019.106243

M3 - Article

SN - 1873-6025

VL - 120

JO - Information and Software Technology

JF - Information and Software Technology

M1 - 106243

ER -

On the value of quality attributes for refactoring ATL model transformations: A multi-objective approach

Abstract

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CDL-MINT Christian Doppler Laboratory for Model-Integrated Smart Production

Cite this

On the value of quality attributes for refactoring ATL model transformations: A multi-objective approach

Abstract

Fields of science

JKU Focus areas

Access to Document

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Projects

CDL-MINT Christian Doppler Laboratory for Model-Integrated Smart Production

Cite this