- -

Evaluating the Benefits of Model-Driven Development

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Evaluating the Benefits of Model-Driven Development

Mostrar el registro completo del ítem

Domingo, Á.; Echeverría, J.; Pastor López, O.; Cetina Englada, C. (2020). Evaluating the Benefits of Model-Driven Development. Springer. 353-367. https://doi.org/10.1007/978-3-030-49435-3_22

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/179798

Ficheros en el ítem

Thumbnail
Nombre: DomingoEcheverria ...
Tamaño: 1.640Mb
Formato: PDF
Descripción: Versión del Autor.
Abrir/Preview
[Cerrado]
Nombre: Domingo2020_Chapt ...
Tamaño: 1.514Mb
Formato: PDF
Descripción: Versión editorial
Solicitar una copia al autor

Metadatos del ítem

Título: Evaluating the Benefits of Model-Driven Development
Autor: Domingo, África Echeverría, Jorge Pastor López, Oscar Cetina Englada, Carlos
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Resumen:
[EN] Researchers have been evaluating the benefits of Model-Driven Development (MDD) for more than a decade now. Although some works suggest that MDD decreases development time, other works limit MDD benefits to academic ...[+]
Palabras clave: Model-Driven Development , Code-centric development , Empirical evaluation , Experiment
Derechos de uso: Reserva de todos los derechos
ISBN: 978-3-030-49435-3
Fuente:
Advanced Information Systems Engineering. 32nd International Conference, CAiSE 2020.
DOI: 10.1007/978-3-030-49435-3_22
Editorial:
Springer
Versión del editor: https://doi.org/10.1007/978-3-030-49435-3_22
Título del congreso: 32nd International Conference on Advanced Information Systems Engineering (CAiSE 2020)
Lugar del congreso: Grenoble, France
Fecha congreso: Junio 08-12,2020
Serie: Lecture Notes in Computer Science;12127
Código del Proyecto:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096411-B-I00/ES/ASISTENTES EVOLUTIVOS INTELIGENTES PARA INICIAR LINEAS DE PRODUCTO SOFTWARE/
Agradecimientos:
Partially supported by MINECO under the Project ALPS (RTI2018-096411-B-I00)
Tipo: Comunicación en congreso Capítulo de libro

References

Anda, B., Hansen, K.: A case study on the application of uml in legacy development. In: ISESE 2006 - Proceedings of the 5th ACM-IEEE International Symposium on Empirical Software Engineering (2006)

Baker, P., Loh, S., Weil, F.: Model-driven engineering in a large industrial context—motorola case study. In: Briand, L., Williams, C. (eds.) MODELS 2005. LNCS, vol. 3713, pp. 476–491. Springer, Heidelberg (2005). https://doi.org/10.1007/11557432_36

Basili, V.R., Rombach, H.D.: The tame project: towards improvement-oriented software environments. IEEE Trans. Softw. Eng. 14(6), 758–773 (1988) [+]
Anda, B., Hansen, K.: A case study on the application of uml in legacy development. In: ISESE 2006 - Proceedings of the 5th ACM-IEEE International Symposium on Empirical Software Engineering (2006)

Baker, P., Loh, S., Weil, F.: Model-driven engineering in a large industrial context—motorola case study. In: Briand, L., Williams, C. (eds.) MODELS 2005. LNCS, vol. 3713, pp. 476–491. Springer, Heidelberg (2005). https://doi.org/10.1007/11557432_36

Basili, V.R., Rombach, H.D.: The tame project: towards improvement-oriented software environments. IEEE Trans. Softw. Eng. 14(6), 758–773 (1988)

Cohen, J.: Statistical Power for the Social Sciences. Laurence Erlbaum and Associates, Hillsdale (1988)

Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)

Heijstek, W., Chaudron, M.R.V.: Empirical investigations of model size, complexity and effort in a large scale, distributed model driven development process. In: Conference Proceedings of the EUROMICRO (2009)

Hutchinson, J., Rouncefield, M., Whittle, J.: Model-driven engineering practices in industry. In: Proceedings - International Conference on Software Engineering (2011)

Kapteijns, T., Jansen, S., Brinkkemper, S., Houet, H., Barendse, R.: A comparative case study of model driven development vs traditional development: the tortoise or the hare. From Code Centric to Model Centric Software Engineering Practices Implications and ROI (2009)

Karac, E.I., Turhan, B., Juristo, N.: A controlled experiment with novice developers on the impact of task description granularity on software quality in test-driven development. IEEE Trans. Softw. Eng. (2019)

Kitchenham, B.A., et al.: Preliminary guidelines for empirical research in software engineering. IEEE Trans. Softw. Eng. 28(8), 721–734 (2002)

Krogmann, K., Becker, S.: A case study on model-driven and conventional software development : the palladio editor. In: Software Engineering (2007)

Martínez, Y., Cachero, C., Meliá, S.: MDD vs. traditional software development: a practitioner’s subjective perspective. In: Information and Software Technology (2013)

Mellegård, N., Staron, M.: Distribution of effort among software development artefacts: an initial case study. In: Bider, I., et al. (eds.) BPMDS/EMMSAD -2010. LNBIP, vol. 50, pp. 234–246. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-13051-9_20

Moody, D.L.: The method evaluation model: a theoretical model for validating information systems design methods. In: ECIS 2003 Proceedings. p. 79 (2003)

Nakagawa, S., Schielzeth, H.: A general and simple method for obtaining r2 from generalized linear mixed-effects models. Meth. Ecol. Evol. 4(2), 133–142 (2013)

Navarrete, J.I.P., et al.: Evaluating model-driven development claims with respect to quality: a family of experiments. IEEE Trans. Softw. Eng. (2018)

Panach, J.I., España, S., Dieste, Ó., Pastor, Ó., Juristo, N.: In search of evidence for model-driven development claims: an experiment on quality, effort, productivity and satisfaction. Inf. Softw. Technol. 62, 164–186 (2015)

Papotti, P.E., do Prado, A.F., de Souza, W.L., Cirilo, C.E., Pires, L.F.: A quantitative analysis of model-driven code generation through software experimentation. In: Salinesi, C., Norrie, M.C., Pastor, Ó. (eds.) CAiSE 2013. LNCS, vol. 7908, pp. 321–337. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-38709-8_21

Selic, B.: The pragmatics of model-driven development. IEEE Softw. 20(5), 19–25 (2003)

West, B.T., Welch, K.B., Galecki, A.T.: Linear Mixed Models: A Practical Guide Using Statistical Software. Chapman and Hall/CRC, Boca Raton (2014)

Wilde, N., Buckellew, M., Page, H., Rajilich, V., Pounds, L.T.: A comparison of methods for locating features in legacy software. J. Syst. Softw. 65(2), 105–114 (2003)

Wohlin, C., Runeson, P., Höst, M., Ohlsson, M.C., Regnell, B., Wesslén, A.: Experimentation in Software Engineering. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-29044-2

[-]

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem