Jose David Mosquera Tobón

Arbeit an der ZHAW

Arbeits- und Forschungsschwerpunkte

Designing Modelling Assistants to Leverage Software Automation in Low-Code No-Code Tools for Software Development

Berufserfahrung

• Research Assistant in Software Engineering
  ZHAW Zurich University of Applied Sciences
  09 / 2021 - heute
• Lecturer in Software Engineering
  Universidad Nacional de Colombia
  02 / 2021 - 09 / 2021
• Full time lecturer
  Fundación Universitaria Panamericana
  08 / 2020 - 11 / 2020
• Software Developer
  Prosecto - Prospectiva Sectorial y Datos Aplicados
  08 / 2018 - 01 / 2019

Aus- und Weiterbildung

Ausbildung

• Master in Engineering / Software Engineering
  Universidad Nacional de Colombia
  01 / 2020 - 01 / 2022
• Information Technology Engineer / Software Engineering
  Universidad Nancional de Colombia
  01 / 2015 - 01 / 2020

Netzwerk

ORCID digital identifier

ORCID ID: 0000-0002-0552-7878

Auszeichnungen

• Best Poster and Tool Award
  30th International Conference on Requirements Engineering: Foundation for Software Quality
  04 / 2024
• Best Paper Award
  16th International Conference on Research Challenges in Information Science (RCIS2022)
  05 / 2022

Social Media

Linked In: David Mosquera

Projekte

• AI-SQUARE: Integrated Decision-Support Platform for Software Staging in DevOps / Teammitglied / laufend
• Smart Hospital – Integrated Framework, Tools & Solutions / Teammitglied / abgeschlossen
• Machine Learning for Software User Interface Testing / Co-Projektleiter:in / abgeschlossen

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed

• Cardona, P. A. N., Suescún, E., Jaramillo, C. M. Z., Scaunasu, B., Elliot, G., Jacobsen, H.-A., & Mosquera, D. (2025). Continuous learning of event-based systems by using pre-conceptual schemas. Journal of Systems and Software, 230(112529). https://doi.org/10.1016/j.jss.2025.112529
• Mosquera, D., Ruiz, M., & Pastor, O. (2025). Ontology-based NLP tool for tracing software requirements and conceptual models : an empirical study. Requirements Engineering, 30(3), 341–369. https://doi.org/10.1007/s00766-025-00447-4
• Mosquera, D., Ruiz, M., Pastor, O., & Spielberger, J. (2024). Understanding the landscape of software modelling assistants for MDSE tools : a systematic mapping. Information and Software Technology, 173(107492). https://doi.org/10.1016/j.infsof.2024.107492

Schriftliche Konferenzbeiträge, peer-reviewed

• Mosquera, D. (2025). A situational method to enable pattern-based requirement specifications as low-code/no-code software models [Conference paper]. In S. Assar, G. Koutsopoulos, J. Ralyté, J. Zdravkovic, H.-G. Fill, & Y. Wautelet (Eds.), Companion Proceedings of the 18th IFIP Working Conference on the Practice of Enterprise Modeling: PoEM Forum, Doctoral Consortium, Business Case & Tool Forum, Workshops (PoEM-C 2025) co-located with PoEM 2025. CEUR Workshop Proceedings. https://doi.org/10.21256/zhaw-36034
• Mosquera, D., Ruiz, M., & Martakos, A. (2025). A domain-specific language for specifying requirement patterns for model-driven software development [Conference paper]. 2025 IEEE 33rd International Requirements Engineering Conference Workshops (REW), 314–324. https://doi.org/10.1109/REW66121.2025.00047
• Mosquera, D., Ruiz, M., Mann, O., & Hanin, M. (2025, April 7). AI-SQUARE : knowledge graphs for requirements-driven software staging management. Joint Proceedings of REFSQ 2025 Workshops, Doctoral Symposium, Posters & Tools Track, and Education and Training Track Co-Located with 31st International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2025). https://doi.org/10.21256/zhaw-36033
• Mosquera, D., Pastor, O., & Spielberger, J. (2024, April 8). LEMON : a tool for enhancing software requirements communication through requirements pattern-based modelling assistance. Joint Proceedings of REFSQ-2024 Workshops, Doctoral Symposium, Posters & Tools Track, and Education and Training Track. https://doi.org/10.21256/zhaw-30686
• Mosquera Tobón, J. D., Ruiz, M., Pastor, O., & Spielberger, J. (2023). Ontology-based automatic reasoning and NLP for tracing software requirements into models with the OntoTrace tool [Conference paper]. In A. Ferrari & B. Penzenstadler (Eds.), Requirements Engineering: Foundation for Software Quality : REFSQ 2023 (pp. 140–158). Springer. https://doi.org/10.1007/978-3-031-29786-1_10
• Wahler, M., Conte, E., Frick, M., Mosquera, D., & Ruiz, M. (2022). Rapid software prototyping from business artifacts [Conference paper]. In P. Bera, F. Dalpiaz, & Y. Wautelet (Eds.), Short Paper Proceedings of the First International Workshop on Agile Methods for Information Systems Engineering (Agil-ISE 2022) (Vol. 3134, pp. 9–14). RWTH Aachen University. https://doi.org/10.21256/zhaw-25019
• Mosquera, D., Ruiz, M., Pastor, O., Spielberger, J., & Fievet, L. (2022). OntoTrace : a tool for supporting trace generation in software development by using ontology-based automatic reasoning [Conference paper]. In J. De Weerdt & A. Polyvyanyy (Eds.), Intelligent Information Systems (pp. 73–81). Springer. https://doi.org/10.1007/978-3-031-07481-3_9
• Mosquera Tobón, J. D. (2022). The MERLIN method to create modeling assistants for model driven development tools [Conference paper]. In A. van Looy, B. Weber, & M. Rosemann (Eds.), CAiSE 2022 Doctoral Consortium Proceedings (pp. 54–61). RWTH Aachen University. https://doi.org/10.21256/zhaw-30651
• Mosquera, D., Martakos, A., & Ruiz, M. (2022). Experiences from developing a web crawler using a model-driven development tool : emerging opportunities [Conference paper]. In A. Augusto, A. Gill, D. Bork, S. Nurcan, I. Reinhartz-Berger, & R. Schmidt (Eds.), Enterprise, Business-Process and Information Systems Modeling (pp. 336–343). Springer. https://doi.org/10.1007/978-3-031-07475-2_23
• Mosquera, D., Ruiz, M., Pastor, O., & Spielberger, J. (2022). Assisted-modeling requirements for model-driven development tools [Conference paper]. In R. Guizzardi, J. Ralyté, & X. Franch (Eds.), Research Challenges in Information Science (pp. 458–474). Springer. https://doi.org/10.1007/978-3-031-05760-1_27

Zurück