Quim Motger

I am a PhD student from the Computing PhD program at Universitat Politècnica de Catalunya (BarcelonaTech). I am a member of the Software and Service Engineering Research Group (GESSI). My research is focused in the field of AI-based software systems, natural language processing and advanced, contextualized conversational agents.

About me

Education

Bachelor's Degree in Informatics Engineering

Major in Software Engineering (2013-2017)

Master's Degree in Computer Science

Major in Artificial Intelligence (2018-2020)

PhD in Computing

Thesis title: Integrating Adaptive Mechanisms into Mobile Applications Exploiting User Feedback

Teaching

Bachelor's Degree in Informatics Engineering

  • Web Applications and Services (ASW)
    • 2019/2020 Q1
    • 2019/2020 Q2
    • 2020/2021 Q1
  • Databases (BD)
    • 2020/2021 Q1
    • 2021/2022 Q1

Bachelor's Degree in Computer Science

  • Object-Oriented Design (DPOO)
    • 2020/2021 Q1
    • 2020/2021 Q2

Research projects

RISCOSS

(2015 - 2016)

Managing Risk and Cost in Open Source Software Projects. Horizon 2020 program from the European Commission.

SUPERSEDE

(2016 - 2017)

SUpporting evolution and adaptation of PERsonalized Software by Exploiting contextual Data and End-user feedback. Horizon 2020 program from the European Commission.

Reactive Plan

(2017 - 2018)

Reactive Plan: A Tool for Continuous Software Release Planning. Knowledge Industry Grants for 2020.

OpenReq

(2018 - 2020)

Intelligent Recommendation & Decision Technologies for Community-Driven Requirements Engineering. Horizon 2020 program from the European Commission.

DOGO4ML

(2021 - 2025)

Development, Operation and Data Governance for ML-based Software Systems. Spanish Ministerio de Ciencia e Innovación.

Publications

2021

Motger, Q., Franch, X., & Marco, J. (2021). Conversational Agents in Software Engineering: Survey, Taxonomy and Challenges. Retrieved from http://arxiv.org/abs/2106.10901

Motger, Q., Franch, X., & Marco, J. (2021). Integrating Adaptive Mechanisms into Mobile Applications Exploiting User Feedback. In Proceedings of the 15th International Conference of Research Challenges in Information Science. https://www.springerprofessional.de/en/integrating-adaptive-mechanisms-into-mobile-applications-exploit/19145400

Raatikainen, M., Motger, Q., Lüders, C. M., Franch, X., Myllyaho, L., Kettunen, E., … Männistö, T. (2021). Improved dependency management for issue trackers in large collaborative projects. Retrieved from https://arxiv.org/abs/2102.08485

2020

Deshpande, G., Motger, Q., Palomares, C., Kamra, I., Biesialska, K., Franch, X., … Ho, J. (2020). Requirements Dependency Extraction by Integrating Active Learning with Ontology-Based Retrieval. In Proceedings of the IEEE International Conference on Requirements Engineering (Vol. 2020-Augus). https://doi.org/10.1109/RE48521.2020.00020

Motger, Q., Palomares, C., & Marco, J. (2020). RESim - Automated detection of duplicated requirements in software engineering projects. In CEUR Workshop Proceedings (Vol. 2584). http://ceur-ws.org/Vol-2584/PT-paper1.pdf

2019

Motger, Q., Borrull, R., Palomares, C., & Marco, J. (2019). OpenReq-DD: A requirements dependency detection tool. In CEUR Workshop Proceedings (Vol. 2376).http://ceur-ws.org/Vol-2376/NLP4RE19_paper01.pdf

Lüders, C. M., Raatikainen, M., Motger, Q., & Maalej, W. (2019). OpenReq Issue Link Map: A Tool to Visualize Issue Links in Jira | Request PDF. Retrieved November 27, 2019. https://ieeexplore.ieee.org/document/8920537

Contact information