Derechos de autor 2021 Investigación e Innovación en Ingenierías
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Problemas en la Implementación de Pruebas en Sistemas de Microservicios: Estudio de Mapeo Sistemático
Corresponding Author(s) : Christian Andrés Candela Uribe
Investigación e Innovación en Ingenierías,
Vol. 9 Núm. 3 (2021): Numero especial - XVI Jornadas Iberoamericanas de Ingeniería de Software e Ingeniería del Conocimiento - JIISIC 2021
Resumen
Objetivo: En el trabajo se construyó un SMS (Systematic Mapping Study) para la identificación y clasificación de problemas y causas en la realización de pruebas en la MSA (Micro-Service Architecture). Metodología: Este SMS adoptó prácticas establecidas en ingeniería de software basada en evidencias. El SMS consideró artículos publicados desde 2016 en bases de datos como ACM, IEEE Xplore, Science Direct, WoS, Springer y Scopus. Además, la estrategia de búsqueda incluyó cuatro iteraciones de bola de nieve. Resultados: El SMS comenzó con 842 estudios y terminó con 32 estudios seleccionados, identificando nueve problemas y ocho causas relacionadas con las pruebas de software en MSA. Finalmente, los estudios se clasificaron por problemas y causas. Conclusiones: El SMS permitió inferir que la Alta Complejidad en pruebas MSA es el problema más representativo. Igualmente, las causas más destacadas son el Alto Número de Servicios, la Falta de Investigación y la proliferación de cada versión de servicio (Service Versioning).
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Referencias
P. di Francesco, I. Malavolta, and P. Lago, “Research on Architecting Microservices: Trends, Focus, and Potential for Industrial Adoption,” in Proceedings - 2017 IEEE International Conference on Software Architecture, ICSA 2017, 2017, pp. 21–30. doi: https://doi.org/10.1109/ICSA.2017.24.
J. Lewis, “Microservices - A definition of this new architectural term,” Martinfowler.Com, vol. 25, pp. 1–16, 2014, [Online]. Available: http://martinfowler.com/articles/microservices.html
N. Dragoni, I. Lanese, S. T. Larsen, M. Mazzara, R. Mustafin, and L. Safina, “Microservices: How to make your application scale,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, vol. 10742 LNCS, pp. 95–104. doi: https://doi.org/10.1007/978-3-319-74313-4_8.
N. Alshuqayran, N. Ali, and R. Evans, “A systematic mapping study in microservice architecture,” in Proceedings - 2016 IEEE 9th International Conference on Service-Oriented Computing and Applications, SOCA 2016, 2016, pp. 44–51. doi: https://doi.org/10.1109/SOCA.2016.15.
F. H. Vera-Rivera, C. M. Gaona Cuevas, and H. Astudillo, “Desarrollo de aplicaciones basadas en microservicios: tendencias y desafíos de investigación,” Revista Ibérica de Sistemas e Tecnologias de Informação, vol. E23, no. E23, pp. 107–120, 2019.
T. Engel, M. Langermeier, B. Bauer, and A. Hofmann, “Evaluation of microservice architectures: A metric and tool-based approach,” in Lecture Notes in Business Information Processing, 2018, vol. 317, pp. 74–89. doi: https://doi.org/10.1007/978-3-319-92901-9_8.
B. Kitchenham et al., “Systematic literature reviews in software engineering–a tertiary study,” Information and software technology, vol. 52, no. 8, pp. 792–805, 2010, doi: https://doi.org/10.1016/j.infsof.2010.03.006.
D. Budgen, M. Turner, P. Brereton, and B. A. Kitchenham, “Using Mapping Studies in Software Engineering.,” in Ppig, 2008, vol. 8, pp. 195–204. [Online]. Available: http://www.ppig.org/papers/20th-budgen.pdf
L. E. Sepúlveda-Rodríguez et al., “Study-based Systematic Mapping Analysis of Cloud Technologies for Leveraging IT Resource and Service Management: The Case Study of the Science Gateway Approach,” Journal of Grid Computing, vol. 19, no. 4, p. 41, 2021, doi: https://doi.org/10.1007/s10723-021-09587-7.
S. Li et al., “Understanding and addressing quality attributes of microservices architecture: A Systematic literature review,” Information and Software Technology, vol. 131, p. 106449, 2021, doi: https://doi.org/10.1016/j.infsof.2020.106449.
D. Taibi, V. Lenarduzzi, and C. Pahl, “Architectural patterns for microservices: A systematic mapping study,” in CLOSER 2018 - Proceedings of the 8th International Conference on Cloud Computing and Services Science, 2018, vol. 2018-Janua, pp. 221–232. doi: https://doi.org/10.5220/0006798302210232.
T. Cerny, M. J. Donahoo, and M. Trnka, “Contextual understanding of microservice architecture,” ACM SIGAPP Applied Computing Review, vol. 17, no. 4, pp. 29–45, 2018, doi: https://doi.org/10.1145/3183628.3183631.
P. di Francesco, P. Lago, and I. Malavolta, “Architecting with microservices: A systematic mapping study,” Journal of Systems and Software, vol. 150, pp. 77–97, 2019, doi: https://doi.org/10.1016/j.jss.2019.01.001.
I. Ghani, W. M. N. Wan-Kadir, A. Mustafa, and M. I. Babir, “Microservice testing approaches: A systematic literature review,” International Journal of Integrated Engineering, vol. 11, no. 8, pp. 65–80, 2019, doi: https://doi.org/10.30880/ijie.2019.11.08.008.
L. M. Hillah et al., “Automation and intelligent scheduling of distributed system functional testing: Model-based functional testing in practice,” International Journal on Software Tools for Technology Transfer, vol. 19, no. 3, pp. 281–308, 2017, doi: https://doi.org/10.1007/s10009-016-0440-3.
Y. Wang, L. Cheng, and X. Sun, “Design and Research of Microservice Application Automation Testing Framework,” in Proceedings - 2019 International Conference on Information Technology and Computer Application, ITCA 2019, 2019, pp. 257–260. doi: https://doi.org/10.1109/ITCA49981.2019.00063.
M. J. Kargar and A. Hanifizade, “Automation of regression test in microservice architecture,” in 2018 4th International Conference on Web Research, ICWR 2018, 2018, pp. 133–137. doi: https://doi.org/10.1109/ICWR.2018.8387249.
S. Sivanandan, “Test Automation Framework as a Service (TAFaaS) - scale test automation & devops practices with cloud, containers, and microservice.,” International Journal of Innovative Technology and Exploring Engineering, vol. 8, no. 7C2, pp. 108–111, 2019, [Online]. Available: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070741957&partnerID=40&md5=879423b8e93c0fc922a389dddafa709e
V. R. Basili and G. Caldiera, “The Goal Question Metric Paradigm,” Encyclopedia of Software Engineering - 2 Volume Set, pp. 528–532, 2000, [Online]. Available: https://www.cs.umd.edu/~basili/publications/technical/T89.pdf
V. R. Basili, “Software Modeling and Measrement,” 1992.
I. G. Needleman, “A guide to systematic reviews,” Journal of Clinical Periodontology, vol. 29, no. SUPPL. 3, pp. 6–9, 2002, doi: https://doi.org/10.1034/j.1600-051x.29.s3.15.x.
M. Petticrew and H. Roberts, Systematic Reviews in the Social Sciences: A Practical Guide. John Wiley & Sons, 2008. doi: https://doi.org/10.1002/9780470754887.
E. Almanasreh, R. Moles, and T. F. Chen, “Evaluation of methods used for estimating content validity,” Research in Social and Administrative Pharmacy, vol. 15, no. 2, pp. 214–221, 2019, doi: https://doi.org/10.1016/j.sapharm.2018.03.066.
F. YAGHMAEI, “Content validity and its estimation,” Journal of Medical Education, vol. 3, no. 1, pp. 25–27, 2003, doi: https://doi.org/10.22037/jme.v3i1.870.
E. Mourao, M. Kalinowski, L. Murta, E. Mendes, and C. Wohlin, “Investigating the Use of a Hybrid Search Strategy for Systematic Reviews,” in International Symposium on Empirical Software Engineering and Measurement, 2017, vol. 2017-Novem, pp. 193–198. doi: https://doi.org/10.1109/ESEM.2017.30.
P. H. Nguyen, M. Kramer, J. Klein, and Y. le Traon, “An extensive systematic review on the Model-Driven Development of secure systems,” Information and Software Technology, vol. 68, pp. 62–81, 2015, doi: https://doi.org/10.1016/j.infsof.2015.08.006.
A. Q. Ali, A. B. M. Sultan, A. A. A. Ghani, and H. Zulzalil, “A Systematic Mapping Study on the Customization Solutions of Software as a Service Applications,” IEEE Access, vol. 7, pp. 88196–88217, 2019, doi: https://doi.org/10.1109/ACCESS.2019.2925499.
K. Petersen, R. Feldt, S. Mujtaba, and M. Mattsson, “Systematic mapping studies in software engineering,” in 12th International Conference on Evaluation and Assessment in Software Engineering, EASE 2008, 2008, pp. 1–10. doi: https://doi.org/10.14236/ewic/ease2008.8.
M. Waseem, P. Liang, and M. Shahin, “A Systematic Mapping Study on Microservices Architecture in DevOps,” Journal of Systems and Software, vol. 170, p. 110798, 2020, doi: https://doi.org/10.1016/j.jss.2020.110798.
S. P. Ma, C. Y. Fan, Y. Chuang, I. H. Liu, and C. W. Lan, “Graph-based and scenario-driven microservice analysis, retrieval, and testing,” Future Generation Computer Systems, vol. 100, pp. 724–735, 2019, doi: https://doi.org/10.1016/j.future.2019.05.048.
N. Dragoni et al., “Microservices: Yesterday, today, and tomorrow,” in Present and Ulterior Software Engineering, M. Mazzara and B. Meyer, Eds. Cham: Springer International Publishing, 2017, pp. 195–216. doi: https://doi.org/10.1007/978-3-319-67425-4_12.
M. Villamizar et al., “Cost comparison of running web applications in the cloud using monolithic, microservice, and AWS Lambda architectures,” Service Oriented Computing and Applications, vol. 11, no. 2, pp. 233–247, Jun. 2017, doi: https://doi.org/10.1007/s11761-017-0208-y.
S. Baškarada, V. Nguyen, and A. Koronios, “Architecting Microservices: Practical Opportunities and Challenges,” Journal of Computer Information Systems, vol. 60, no. 5, pp. 428–436, 2020, doi: https://doi.org/10.1080/08874417.2018.1520056.
D. Savchenko, G. Radchenko, T. Hynninen, and O. Taipale, “Microservice Test Process: Design and Implementation,” International Journal on Information Technologies & Security, vol. 10, no. 3, pp. 13–24, 2018.
T. Cerny et al., “On Code Analysis Opportunities and Challenges for Enterprise Systems and Microservices,” IEEE Access, vol. 8, pp. 159449–159470, 2020, doi: https://doi.org/10.1109/ACCESS.2020.3019985.
V. Lenarduzzi, F. Lomio, N. Saarimäki, and D. Taibi, “Does migrating a monolithic system to microservices decrease the technical debt?,” Journal of Systems and Software, vol. 169, p. 110710, 2020, doi: https://doi.org/10.1016/j.jss.2020.110710.
Y. Wang, H. Kadiyala, and J. Rubin, “Promises and challenges of microservices: an exploratory study,” Empirical Software Engineering, vol. 26, no. 4. pp. 1–45, 2021. doi: https://doi.org/10.1007/s10664-020-09910-y.
A. Benayache, A. Bilami, S. Barkat, P. Lorenz, and H. Taleb, “MsM: A microservice middleware for smart WSN-based IoT application,” Journal of Network and Computer Applications, vol. 144, pp. 138–154, 2019, doi: https://doi.org/10.1016/j.jnca.2019.06.015.
T. Cerny, “Aspect-oriented challenges in system integration with microservices, SOA and IoT,” Enterprise Information Systems, vol. 13, no. 4, pp. 467–489, 2019, doi: https://doi.org/10.1080/17517575.2018.1462406.
X. Larrucea, I. Santamaria, R. Colomo-Palacios, and C. Ebert, “Microservices,” IEEE Software, vol. 35, no. 3, pp. 96–100, 2018.
A. Nebel and L. González, “Quality-based Methodology for Assessing the Applicability of Microservices Architecture,” 23rd Iberoamerican Conference on Software Engineering, CIbSE 2020, 2020.
A. Arcuri, “RESTful API automated test case generation,” in Proceedings - 2017 IEEE International Conference on Software Quality, Reliability and Security, QRS 2017, 2017, pp. 9–20. doi: https://doi.org/10.1109/QRS.2017.11.
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