Uso de ingeniería inversa en minería de datos abiertos en la gestión pública: Revisión bibliográfica
Abstract
La ingeniería inversa, cuando se aplica a la minería de datos abiertos públicos, enfrenta problemas como la extracción precisa de información de datos heterogéneos y la integración de sistemas informáticos. El objetivo de estudio permitió explorar y optimizar el uso de técnicas de minería de datos aplicando ingeniería inversa con el fin de mejorar la transparencia, la participación ciudadana y combatir la desinformación mediante el uso de plataformas digitales. La metodología de revisión bibliográfica accedió a bases de datos SCOPUS y EBSCO, logrando procesar 52 artículos científicos indexados. El resultado determinó que la ingeniería inversa en datos abiertos mejora significativamente la toma de decisiones y la eficiencia del gasto público, además, identifica y corrige ineficiencias en los procesos, y aumenta la transparencia con la rendición de cuentas en la gestión pública. Concluyendo que la ingeniería inversa, combinada con la minería de datos abiertos, facilita la extracción y reutilización de información, revelando patrones ocultos y mejorando la administración de recursos. La adopción tecnológica con capacitación ofrecerá beneficios en eficiencia y transparencia en la administración pública.
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References
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Asher, S. W., Jan, S., Tsaramirsis, G., Khan, F. Q., Khalil, A., y Obaidullah, M. (2021). Ingeniería inversa de aplicaciones de banca móvil. Computer Systems Science & Engineering, 38(3), 265-278. https://doi.org/10.32604/csse.2021.016787
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Bera, D., Schuts, M., Hooman, J., y Kurtev, I. (2021). Modelos de ingeniería inversa de interfaces de software. Ciencias de la computación y sistemas de información, 18(3), 657-686. https://doi.org/10.2298/CSIS200131013B
Busetti, S. (2023). Causality is good for practice: policy design and reverse engineering. Policy Science, 56(2), 419-438. https://doi.org/10.1007/s11077-023-09493-7
Coy, J. (March 21, 2024). Practical Reverse Engineering: Choosing the Right Tools for the Job. Manufacturing Tomorrow. https://www.manufacturingtomorrow.com/article/2024/02/practical-reverse-engineering-choosing-the-right-tools-for-the-job/22266
Daily, J., y Eddy, A. (2022). Leveraging the Systems Engineering Life Cycle Process for Reverse Engineering. Incose International Symposium, 32(1), 903-917. https://doi.org/10.1002/iis2.12971
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Flores, S. P., y Núñez, L.A. (2021). Gestión por procesos en el marco de la Modernización de la Gestión Pública en el Perú. Alfa Centauri. 2(3), 140-164. https://doi.org/10.47422/ac.v2i3.54
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Husted, E. (2021). Reverse Engineering. Quality, 60(3). 44-46. https://www.proquest.com/docview/2645923580?pq-origsite=gscholar&fromopenview=true&sourcetype=Scholarly%20Journals
Ittipon, R., y Wu, S. F. (2020). How do fake news spreaders exploit social algorithms to promote their content? Proceedings of the 13th IADIS International Conference ICT, Society and Human Beings 2020, ICT 2020 and Proceedings of the 6th IADIS International Conference Connected Smart Cities 20, 157–164. https://murex.mahidol.ac.th/en/publications/how-do-fake-news-propagators-exploit-social-algorithms-to-promote/
Jang, J.-W., De, A., Vontela, D., Nirmala, I., Ghosh, S., y Iyengar, A. (2020). Threshold-Defined Logic and Interconnect for Protection Against Reverse Engineering. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 39(2), 308-320. https://doi.org/10.1109/TCAD.2018.2887056
Le, H. T., Shar, L. K., Bianculli, D., Briand, L. C., y Nguyen, C. D. (2022). Automated reverse engineering of role-based access control policies of web applications. Journal of Systems and Software, 184, 111109. https://doi.org/10.1016/j.jss.2021.111109
Lee, J.-S., y Jun, S. P. (2021). Privacy-preserving data mining for open government data from heterogeneous sources. Government Information Quarterly, 38(1), 101544. https://doi.org/10.1016/j.giq.2020.101544
Munandar, T. A., y Handayani, D. (2023). Data mining for development inequality. IAENG International Journal of Applied Mathematics, 53(2), 646-655. https://www.iaeng.org/IJAM/issues_v53/issue_2/IJAM_53_2_23.pdf
Nawaz, A., Rana, T., Azam, F., y Anwar, M. W. (2021). Reverse Engineering of Object Oriented Systems to ALF. International Journal of Software Engineering and Knowledge Engineering, 31(5), 745-774. https://doi.org/10.1142/S0218194021500224
Puri, M., Varde, A. S., y De Melo, G. (2023). Commonsense based text mining on urban policy. Language Resources and Evaluation, 57(2), 733-763. https://doi.org/10.1007/s10579-022-09584-6
Raffo, A., Barrowclough, O. J. D., y Muntingh, G. (2020). Reverse engineering of CAD models via clustering and approximate implicitization. Computer Aided Geometric Design, 80, 101876. https://doi.org/10.1016/j.cagd.2020.101876
Riedl, M. J., Strover, S., Cao, T., Choi, J. R., Limov, B., y Schnell, M. (2022). Reverse-engineering political protest: the Russian Internet Research Agency in the Heart of Texas. Information, Communication & Society, 25(15), 2299-2316. https://doi.org/10.1080/1369118X.2021.1934066
Saiga, K., Ullah, A. S., Kubo, A., y Tashi (2021). Un proceso de ingeniería inversa sostenible. Procedia CIRP, 98, 517-522. https://doi.org/10.1016/j.procir.2021.01.144
Samani, E., Kohansal, M., y Mohsenian-Rad, H. (2022). A Data-Driven Convergence Bidding Strategy Based on Reverse Engineering of Market Participants’ Performance: A Case of California ISO. IEEE Transactions on Power Systems, 37(3), 2122-2136. https://doi.org/10.1109/TPWRS.2021.3114362
Shahidzadeh, M. H., y Shokouhyar, S. (2022). Shedding light on the reverse logistics’ decision-making: a social-media analytics study of the electronics industry in developing vs developed countries. International Journal of Sustainable Engineering, 15(1), 161-176. https://doi.org/10.1080/19397038.2022.2101706
Stoykova, R., Nordvik, R., Ahmed, M., Franke, K., Axelsson, S., y Toolan, F. (2022). Legal and technical questions of file system reverse engineering. Computer Law & Security Review, 46, 105725. https://doi.org/10.1016/j.clsr.2022.105725
Székely, G., Ládi, G., Holczer, T., y Buttyán, L. (2021). Protocol State Machine Reverse Engineering with a Teaching–Learning Approach. Acta Cybernetica, 25(2), 517-535. https://doi.org/10.14232/actacyb.288213
Yang, Z., Qiu, Z., Zhou, Y., Huang, Z., Bodeveix, J.-P., y Filali, M. (2021). C2AADL_Reverse: A model-driven reverse engineering approach to development and verification of safety-critical software. Journal of Systems Architecture, 118, 102202. https://doi.org/10.1016/j.sysarc.2021.102202
Alegría, G. R. (2016). Modelos de desarrollo y sistemas de gestión pública: el SNIP peruano, 2001-2014 [Tesis doctoral, Universidad Complutense de Madrid]. https://docta.ucm.es/entities/publication/d7eaac57-eeb6-487b-864c-e73f4fd26808
Álvarez, B. (2021). Análisis comparativo de técnicas de minería de datos aplicadas a business intelligence [Tesis de pregrado, Universidad Señor de Sipán]. https://repositorio.uss.edu.pe/handle/20.500.12802/8359
Asher, S. W., Jan, S., Tsaramirsis, G., Khan, F. Q., Khalil, A., y Obaidullah, M. (2021). Ingeniería inversa de aplicaciones de banca móvil. Computer Systems Science & Engineering, 38(3), 265-278. https://doi.org/10.32604/csse.2021.016787
Baehr, J., Bernardini, A., Sigl, G., y Schlichtmann, U. (2020). Machine learning and structural characteristics for reverse engineering. Integration, 72(1), 1-12. https://doi.org/10.1016/j.vlsi.2019.10.002
Bera, D., Schuts, M., Hooman, J., y Kurtev, I. (2021). Modelos de ingeniería inversa de interfaces de software. Ciencias de la computación y sistemas de información, 18(3), 657-686. https://doi.org/10.2298/CSIS200131013B
Busetti, S. (2023). Causality is good for practice: policy design and reverse engineering. Policy Science, 56(2), 419-438. https://doi.org/10.1007/s11077-023-09493-7
Coy, J. (March 21, 2024). Practical Reverse Engineering: Choosing the Right Tools for the Job. Manufacturing Tomorrow. https://www.manufacturingtomorrow.com/article/2024/02/practical-reverse-engineering-choosing-the-right-tools-for-the-job/22266
Daily, J., y Eddy, A. (2022). Leveraging the Systems Engineering Life Cycle Process for Reverse Engineering. Incose International Symposium, 32(1), 903-917. https://doi.org/10.1002/iis2.12971
Dukaczewski, D., y Markowska, A. (2021). Urban Policy Observatory Programme for Sustainable Cities and Communities Mapping in Poland. Abstracts of the International Cartographic Association, 3(72), 1-2. https://doi.org/10.5194/ica-abs-3-72-2021
Flores, S. P., y Núñez, L.A. (2021). Gestión por procesos en el marco de la Modernización de la Gestión Pública en el Perú. Alfa Centauri. 2(3), 140-164. https://doi.org/10.47422/ac.v2i3.54
Garrote, R. (2017). Reversing, Ingeniería Inversa. RA-MA Editorial.
Ghimire, A., Lingala, S. R., Zhang, J., Alsulami, A., y Amsaad, F. (2025). A Survey on Application of AI on Reverse Engineering for Software Analysis and Security. IEEE Access, 13, 152903-152913. https://doi.org/10.1109/ACCESS.2025.3593456
Groth, G. (2020). Reverse Engineering Software 101. Quality Magazine, 59(5), 27. https://www.qualitymag.com/articles/96042-reverse-engineering-software-101
Groth, G. (2022). Reverse Engineering Software: Who? what? when? where? why? Quality, 61(9), 16. https://www.proquest.com/docview/2711036153?pq-origsite=gscholar&fromopenview=true&sourcetype=Scholarly%20Journals
Husted, E. (2021). Reverse Engineering. Quality, 60(3). 44-46. https://www.proquest.com/docview/2645923580?pq-origsite=gscholar&fromopenview=true&sourcetype=Scholarly%20Journals
Ittipon, R., y Wu, S. F. (2020). How do fake news spreaders exploit social algorithms to promote their content? Proceedings of the 13th IADIS International Conference ICT, Society and Human Beings 2020, ICT 2020 and Proceedings of the 6th IADIS International Conference Connected Smart Cities 20, 157–164. https://murex.mahidol.ac.th/en/publications/how-do-fake-news-propagators-exploit-social-algorithms-to-promote/
Jang, J.-W., De, A., Vontela, D., Nirmala, I., Ghosh, S., y Iyengar, A. (2020). Threshold-Defined Logic and Interconnect for Protection Against Reverse Engineering. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 39(2), 308-320. https://doi.org/10.1109/TCAD.2018.2887056
Le, H. T., Shar, L. K., Bianculli, D., Briand, L. C., y Nguyen, C. D. (2022). Automated reverse engineering of role-based access control policies of web applications. Journal of Systems and Software, 184, 111109. https://doi.org/10.1016/j.jss.2021.111109
Lee, J.-S., y Jun, S. P. (2021). Privacy-preserving data mining for open government data from heterogeneous sources. Government Information Quarterly, 38(1), 101544. https://doi.org/10.1016/j.giq.2020.101544
Munandar, T. A., y Handayani, D. (2023). Data mining for development inequality. IAENG International Journal of Applied Mathematics, 53(2), 646-655. https://www.iaeng.org/IJAM/issues_v53/issue_2/IJAM_53_2_23.pdf
Nawaz, A., Rana, T., Azam, F., y Anwar, M. W. (2021). Reverse Engineering of Object Oriented Systems to ALF. International Journal of Software Engineering and Knowledge Engineering, 31(5), 745-774. https://doi.org/10.1142/S0218194021500224
Puri, M., Varde, A. S., y De Melo, G. (2023). Commonsense based text mining on urban policy. Language Resources and Evaluation, 57(2), 733-763. https://doi.org/10.1007/s10579-022-09584-6
Raffo, A., Barrowclough, O. J. D., y Muntingh, G. (2020). Reverse engineering of CAD models via clustering and approximate implicitization. Computer Aided Geometric Design, 80, 101876. https://doi.org/10.1016/j.cagd.2020.101876
Riedl, M. J., Strover, S., Cao, T., Choi, J. R., Limov, B., y Schnell, M. (2022). Reverse-engineering political protest: the Russian Internet Research Agency in the Heart of Texas. Information, Communication & Society, 25(15), 2299-2316. https://doi.org/10.1080/1369118X.2021.1934066
Saiga, K., Ullah, A. S., Kubo, A., y Tashi (2021). Un proceso de ingeniería inversa sostenible. Procedia CIRP, 98, 517-522. https://doi.org/10.1016/j.procir.2021.01.144
Samani, E., Kohansal, M., y Mohsenian-Rad, H. (2022). A Data-Driven Convergence Bidding Strategy Based on Reverse Engineering of Market Participants’ Performance: A Case of California ISO. IEEE Transactions on Power Systems, 37(3), 2122-2136. https://doi.org/10.1109/TPWRS.2021.3114362
Shahidzadeh, M. H., y Shokouhyar, S. (2022). Shedding light on the reverse logistics’ decision-making: a social-media analytics study of the electronics industry in developing vs developed countries. International Journal of Sustainable Engineering, 15(1), 161-176. https://doi.org/10.1080/19397038.2022.2101706
Stoykova, R., Nordvik, R., Ahmed, M., Franke, K., Axelsson, S., y Toolan, F. (2022). Legal and technical questions of file system reverse engineering. Computer Law & Security Review, 46, 105725. https://doi.org/10.1016/j.clsr.2022.105725
Székely, G., Ládi, G., Holczer, T., y Buttyán, L. (2021). Protocol State Machine Reverse Engineering with a Teaching–Learning Approach. Acta Cybernetica, 25(2), 517-535. https://doi.org/10.14232/actacyb.288213
Yang, Z., Qiu, Z., Zhou, Y., Huang, Z., Bodeveix, J.-P., y Filali, M. (2021). C2AADL_Reverse: A model-driven reverse engineering approach to development and verification of safety-critical software. Journal of Systems Architecture, 118, 102202. https://doi.org/10.1016/j.sysarc.2021.102202
Published
2026-02-20
How to Cite
Sánchez Chero, J., Sánchez-Chero, M., Bruno-Coveñas, P., & Fernández-Vásquez, J. A. (2026). Uso de ingeniería inversa en minería de datos abiertos en la gestión pública: Revisión bibliográfica. Revista De Ciencias Sociales, 32(1), 446-459. https://doi.org/10.31876/rcs.v32i1.45216
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