Influencia de las elecciones aceleradas en la producción de software: repercusiones en la excelencia y rendimiento del producto.
Resumen
Este estudio detalla cómo las decisiones rápidas en el desarrollo de software impactan la calidad y la eficiencia del producto. Se analiza cómo estas decisiones afectan negativamente estos aspectos, presentando estrategias para mitigar sus consecuencias. Se exploró la perspectiva de desarrolladores de software en distintas regiones de Ecuador, a través de encuestas que reflejan diversas experiencias profesionales. Los resultados revelan cómo la agilidad en las decisiones puede influir en el proceso de desarrollo y la percepción de calidad y eficiencia. Esto subraya la necesidad de considerar a fondo los efectos positivos y negativos de las elecciones ágiles en la calidad del producto, incentivando a la comunidad de desarrollo de software a reflexionar sobre prácticas óptimas para equilibrar agilidad y calidad en su labor.
Citas
Almashhadani, M., Mishra, A., Yazici, A., & Younas, M. (2023). Challenges in Agile Software Maintenance for Local and Global Development: An Empirical Assessment. Information, 14(5), 261. https://www.mdpi.com/2078-2489/14/5/261/pdf?version=1682577492
Atawneh, S. (2019). The analysis of current state of agile software development. Journal of Theoretical Applied Information Technology, 97(22), 3197-3208. https://www.jatit.org/volumes/Vol97No22/4Vol97No22.pdf
Aziz, S., Piñeres, G., Ariza, P., & Tariq, M. (2022). Project management issues while using agile methodology. In International Conference on Lean and Agile Software Development (pp. 201-214). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-94238-0_12
Choetkiertikul, M., Dam, H. K., Tran, T., & Ghose, A. (2015, November). Predicting delays in software projects using networked classification (t). In 2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE) (pp. 353-364). IEEE. https://ieeexplore.ieee.org/abstract/document/7372024/metrics#metrics
Choetkiertikul, M., Dam, H. K., Tran, T., & Ghose, A. (2017). Predicting the delay of issues with due dates in software projects. Empirical Software Engineering, 22, 1223-1263. https://link.springer.com/article/10.1007/s10664-016-9496-7
Fitriani, W., Rahayu, P., & Sensuse, D. (2016). Challenges in agile software development: A systematic literature review. In 2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) (pp. 155-164). IEEE. https://ieeexplore.ieee.org/abstract/document/7872736
Ghimire, D., & Charters, S. (2022). The impact of Agile development practices on project outcomes. Software, 1(3), 265-275. https://www.mdpi.com/2674-113X/1/3/12/pdf?version=1659950798
Hoy, Z., & Xu, M. (2023). Agile Software Requirements Engineering Challenges-Solutions—A Conceptual Framework from Systematic Literature Review. Information, 14(6), 322. https://www.mdpi.com/2078-2489/14/6/322/pdf?version=1686030825
Kula, E., Greuter, E., Van Deursen, A., & Gousios, G. (2021). Factors affecting on-time delivery in large-scale agile software development. IEEE Transactions on Software Engineering, 48(9), 3573-3592. https://ieeexplore.ieee.org/abstract/document/9503331
Kuutila, M., Mantyla, M. V., Farooq, U., & Claes, M. (2020). What do we know about time pressure in software development?. IEEE Software, 38(5), 32-38. https://ieeexplore.ieee.org/abstract/document/9184214
López, L., Burgués, X., Martínez-Fernández, S., Vollmer, A. M., Behutiye, W., Karhapää, P., ... & Oivo, M. (2022). Quality measurement in agile and rapid software development: A systematic mapping. Journal of Systems and Software, 186, 111187. https://www.sciencedirect.com/science/article/pii/S0164121221002661
Martínez-Fernández, S., Vollmer, A., Jedlitschka, A., Franch, X., López, L., & Prabhat, R. (2019). Continuously assessing and improving software quality with software analytics tools: a case study. IEEE access, 7, 68219-68239. https://ieeexplore.ieee.org/abstract/document/8717997
Matthies, C., & Hesse, G. (2019). Towards using data to inform decisions in agile software development: views of available data. arXiv preprint arXiv:1907.12959. https://arxiv.org/pdf/1907.12959.pdf
Mendonça, R., Soares, P., & Tumenas, F. (2023). Challenges to agile software project management practices in the context of the COVID-19 pandemic. Gestão & Produção, 30, e9722. https://www.scielo.br/j/gp/a/RmzwdSD8nW6ThVRV3tXRjxs/
Springer, O., & Miler, J. (2022). A comprehensive overview of software product management challenges. Empirical Software Engineering, 27(5), 106. https://link.springer.com/content/pdf/10.1007/s10664-022-10134-5.pdf
Villasana, G., & Castello, R. (2014). An agile software quality framework lacking. In 2014 World Congress on Computer Applications and Information Systems (WCCAIS) (pp. 1-4). IEEE. https://ieeexplore.ieee.org/abstract/document/6916549
