Abstract
A known problem in legacy systems is the presence of crosscutting concerns in their architecture hampering and increasing the maintenance costs. A possible solution for that is the conduction of modularity-oriented modernization aiming at restructuring the legacy software system in order to improve its artifacts (source code, database, others) quality. Architecture-Driven Modernization (ADM) is focused on modernizing legacy software systems by using the concepts of model-driven architecture, software reengineering and standard metamodels. Knowledge Discovery Metamodel (KDM) is a standard from ADM that is able to represent software systems by means of KDM instances that are going to be modernized. An intrinsic part of the modernization process is to measure both KDM versions, the legacy and the modernized one. The measurement of legacy KDM instances enables the software engineer to quantify the existing problems while the measurement of the modernized one enables to verify whether the problems have been solved or not. Structured Metrics Metamodel (SMM) is a metamodel that can be used to specify metrics to be applied on KDM instances. However, even though most of the well known metrics are supported by SMM, there is no study that investigate how SMM could be used to specify concern metrics. We present how SMM can be used to specify concern metrics and a tool to support this measurement process, enabling the conduction of modularity-oriented modernizations to help ensuring the quality of the modernization process. Furthermore, we also discuss some challenges to be overcome involving the quality measurement process in ADM blueprint.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bruneliere, H., Cabot, J., Jouault, F., Madiot, F.: Modisco: a generic and extensible framework for model driven reverse engineering. In: Proceedings of the IEEE/ACM International Conference on Automated Software Engineering, ASE 2010, pp. 173–174. ACM, New York (2010). https://doi.org/10.1145/1858996.1859032
Brunelière, H., Cabot, J., Dupé, G., Madiot, F.: Modisco: a model driven reverse engineering framework. Inf. Softw. Technol. 56(8), 1012–1032 (2014). https://doi.org/10.1016/j.infsof.2014.04.007
Canovas Izquierdo, J., Zapata, B., Molina, J.: Definición y ejecución de métricas en el contexto de adm. In: Taller sobre Desarrollo de Software Dirigido por Modelos (DSDM), pp. 1–10 (2009)
Durelli, R.S., et al.: A mapping study on architecture-driven modernization. In: Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration (IEEE IRI 2014), pp. 577–584, August 2014. https://doi.org/10.1109/IRI.2014.7051941
Frey, S., Hoorn, A., Jung, R., Kiel, B., Hasselbring, W.: MAMBA: model-based software analysis utilizing OMG’s SMM. Softwaretechnik-Trends 32(2), 49–50 (2012)
Hein, C., Engelhardt, M., Ritter, T., Wagner, M.: Generation of formal model metrics for MOF based domain specific languages. ECEASST 24 (2009). https://doi.org/10.14279/tuj.eceasst.24.339
Pérez-Castillo, R., de Guzmán, I.G.R., Piattini, M.: Knowledge discovery metamodel-ISO/IEC 19506: a standard to modernize legacy systems. Comput. Stand. Interfaces 33(6), 519–532 (2011). https://doi.org/10.1016/j.csi.2011.02.007
San Martín Santibáñez, D., Durelli, R.S., Camargo, V.V.: A combined approach for concern identification in KDM models. J. Braz. Comput. Soc. 21(1), 10 (2015). https://doi.org/10.1186/s13173-015-0030-3
Sant’anna, C., Garcia, A., Chavez, C., Lucena, C., von Staa, A.: On the reuse and maintenance of aspect-oriented software: an assessment framework. In: Proceedings XVII Brazilian Symposium on Software Engineering (2003). http://twiki.im.ufba.br/pub/Aside/NossasPublicacoes/sbes2003-135.PDF
Santos, B.M., de Guzmán, I.G., Camargo, V.V., Piattini, M., Ebert, C.: Software refactoring for system modernization. IEEE Softw. 35(6), 62–67 (2018). https://doi.org/10.1109/MS.2018.4321236
Santos, B.M., de Landi, A.S., Santibáñez, D.S., Durelli, R.S., Camargo, V.V.: Evaluating the extension mechanisms of the knowledge discovery metamodel for aspect-oriented modernizations. J. Syst. Softw. 149, 285–304 (2019). https://doi.org/10.1016/j.jss.2018.12.011
Visaggio, G.: Ageing of a data-intensive legacy system: symptoms and remedies. J. Softw. Maint. Evol.: Res. Pract. 13(5), 281–308 (2001). https://doi.org/10.1002/smr.234
Acknowledgements
This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001 and by FAPESP process number 2016/03104-0. We also would like to thank CONICYT PFCHA/DOCTORADO BECAS CHILE/2016 - 72170024.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Santos, B., Martín, D.S., Honda, R., de Camargo, V.V. (2019). Concern Metrics for Modularity-Oriented Modernizations. In: Piattini, M., Rupino da Cunha, P., García Rodríguez de Guzmán, I., Pérez-Castillo, R. (eds) Quality of Information and Communications Technology. QUATIC 2019. Communications in Computer and Information Science, vol 1010. Springer, Cham. https://doi.org/10.1007/978-3-030-29238-6_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-29238-6_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-29237-9
Online ISBN: 978-3-030-29238-6
eBook Packages: Computer ScienceComputer Science (R0)