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dc.contributor.authorMarcén Terraza, Ana Cristina-
dc.contributor.authorPérez Pérez, Francisca-
dc.contributor.authorPastor Lopez, Oscar-
dc.contributor.authorCetina, Carlos-
dc.identifier.citationMarcén AC, Pérez F, Pastor Ó, Cetina C. Evaluating the benefits of empowering model-driven development with a machine learning classifier. Softw Pract Exper. 2022;52(11):2439-2455. doi: 10.1002/spe.3133en_US
dc.description.abstractIncreasingly, the model driven engineering (MDE) community is paying more attention to the techniques offered by the machine learning (ML) community. This has led to the application ofML techniques to MDE related tasks in hope of increasing the current benefits of MDE.Nevertheless, there is a lack of empirical experiments that evaluate the benefits that ML brings to MDE. In this work, we evaluate the benefits of empowering model engineers of model-driven development (MDD) with an ML classifier. To do this, we tackled how to embed the ML classifier as part of the MDD. Then, this was evaluated using two different real industrial cases. Our results show that despite the ML part takes an extra effort, the use of theML classifier pays off in terms of the quality results, the perceived usefulness, and intention to use.en_US
dc.format.extent17 p.en_US
dc.relationGeneralitat Valenciana, Grant/Award Numbers: ACIF/2018/171, PROMETEO/2018/176; Ministerio de Ciencia, Innovación y Universidades, Grant/Award Number: PID2021-128695OB-I00; Ministerio de Economía y Competitividad, Grant/Award Number: TIN2016-80811-Pen_US
dc.relation.requiresAdobe pdfen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.subjectData-oriented software systemsen_US
dc.subjectMachine learningen_US
dc.subjectModel-driven developmenten_US
dc.titleEvaluating the benefits of empowering model-driven development with a machine learning classifieren_US
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
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