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. et al. (2025) 'Continuous learning of event-based systems by using pre-conceptual schemas', Journal of Systems and Software, 230(112529). doi: 10.1016/j.jss.2025.112529.
• Mosquera, D., Ruiz, M. and Pastor, O. (2025) 'Ontology-based NLP tool for tracing software requirements and conceptual models : an empirical study', Requirements Engineering, 30(3), pp. 341–369. doi: 10.1007/s00766-025-00447-4.
• Mosquera, D. et al. (2024) 'Understanding the landscape of software modelling assistants for MDSE tools : a systematic mapping', Information and Software Technology, 173(107492). doi: 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', in Assar, S. et al. (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. doi: 10.21256/zhaw-36034.
• Mosquera, D., Ruiz, M. and Martakos, A. (2025) 'A domain-specific language for specifying requirement patterns for model-driven software development', in 2025 IEEE 33rd International Requirements Engineering Conference Workshops (REW). IEEE, pp. 314–324. doi: 10.1109/REW66121.2025.00047.
• Mosquera, D. et al. (2025) 'AI-SQUARE : knowledge graphs for requirements-driven software staging management', in 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). CEUR Workshop Proceedings. doi: 10.21256/zhaw-36033.
• Mosquera, D., Pastor, O. and Spielberger, J. (2024) 'LEMON : a tool for enhancing software requirements communication through requirements pattern-based modelling assistance', in Joint Proceedings of REFSQ-2024 Workshops, Doctoral Symposium, Posters & Tools Track, and Education and Training Track. CEUR Workshop Proceedings. doi: 10.21256/zhaw-30686.
• Mosquera Tobón, J. D. et al. (2023) 'Ontology-based automatic reasoning and NLP for tracing software requirements into models with the OntoTrace tool', in Ferrari, A. and Penzenstadler, B. (eds) Requirements Engineering: Foundation for Software Quality : REFSQ 2023. Cham: Springer, pp. 140–158. doi: 10.1007/978-3-031-29786-1_10.
• Mosquera, D. et al. (2022) 'OntoTrace : a tool for supporting trace generation in software development by using ontology-based automatic reasoning', in De Weerdt, J. and Polyvyanyy, A. (eds) Intelligent Information Systems. Cham: Springer, pp. 73–81. doi: 10.1007/978-3-031-07481-3_9.
• Wahler, M. et al. (2022) 'Rapid software prototyping from business artifacts', in Bera, P., Dalpiaz, F., and Wautelet, Y. (eds) Short Paper Proceedings of the First International Workshop on Agile Methods for Information Systems Engineering (Agil-ISE 2022). Aachen: RWTH Aachen University, pp. 9–14. doi: 10.21256/zhaw-25019.
• Mosquera Tobón, J. D. (2022) 'The MERLIN method to create modeling assistants for model driven development tools', in van Looy, A., Weber, B., and Rosemann, M. (eds) CAiSE 2022 Doctoral Consortium Proceedings. Aachen: RWTH Aachen University, pp. 54–61. doi: 10.21256/zhaw-30651.
• Mosquera, D., Martakos, A. and Ruiz, M. (2022) 'Experiences from developing a web crawler using a model-driven development tool : emerging opportunities', in Augusto, A. et al. (eds) Enterprise, Business-Process and Information Systems Modeling. Cham: Springer, pp. 336–343. doi: 10.1007/978-3-031-07475-2_23.
• Mosquera, D. et al. (2022) 'Assisted-modeling requirements for model-driven development tools', in Guizzardi, R., Ralyté, J., and Franch, X. (eds) Research Challenges in Information Science. Cham: Springer, pp. 458–474. doi: 10.1007/978-3-031-05760-1_27.

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