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Prof. Dr. Elzbieta Pustulka

Prof. Dr. Elzbieta Pustulka

Tätigkeiten an der FHNW

Dozentin für Wirtschaftsinformatik im Kompetenzschwerpunkt Systems Engineering

Betreute Studienprojekte von Prof. Dr. Elzbieta Pustulka

Nur peer-reviewed

Keine peer-reviewed Inhalte verfügbar
Peer-reviewed

Fluri, J., Fornari, F., & Pustulka, E. (2023). Measuring the benefits of CI/CD practices for database application development. 2023 IEEE/ACM International Conference on Software and System Processes. ICSSP. Melbourne, Australia, 14-15 May 2023. Proceedings, 46–57. https://doi.org/10.1109/ICSSP59042.2023.00015
Peer-reviewed

Espona, L., Vichalkovski, A., Steingartner, W., & Pustulka, E. (2023). Automatic indexing for MongoDB. In A. Abelló, P. Vassiliadis, O. Romero, R. Wrembel, F. Bugiotti, J. Gamper, G. Vargas Solar, & E. Zumpano (Eds.), New trends in database and information systems. ADBIS 2023 short Papers, doctoral consortium and workshops: AIDMA, DOING, K-Gals, MADEISD, PeRS, Barcelona, Spain, September 4–7, 2023, roceedings (pp. 535–543). Springer. https://doi.org/10.1007/978-3-031-42941-5_46
Peer-reviewed

Pustulka, E., & Spadola, A. (2023). Learning Java Loops and Control Structures by Moving a Ladybird. GSGS′23. 8th International Conference on Gamification & Serious Games, 70–73. https://irf.fhnw.ch/handle/11654/43467
Peer-reviewed

Pustulka, E., de Espona, L., & Kennel, A. (2022). Extending SQL Scrolls to teach SQL DML. GSGS ’22. 7th International Conference on Gamification & Serious Game. June 29-30 & July 1, 2022, HEPIA, HES-SO, Geneva, 10–13. https://irf.fhnw.ch/handle/11654/43232
Peer-reviewed

Pustulka, E., Krause, K., de Espona, L., & Kennel, A. (2022). SQL scrolls - A reusable and extensible DGBL experiment. In D. Stikkolorum & E. Rahimi (eds.), Proceedings CSERC′21 (2 ed., pp. 39–48). ACM. https://doi.org/10.1145/3507923.3507932
Peer-reviewed

Espona, L., & Pustulka, E. (2022). Document versioning for MongoDB. In S. Chiusano, T. Cerquitelli, R. Wrembel, K. Nørvåg, B. Catania, G. Vargas-Solar, & E. Zumpano (Eds.), New trends in database and information systems. ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5–8, 2022, Proceedings (pp. 512–524). Springer. https://doi.org/10.1007/978-3-031-15743-1_47
Peer-reviewed

Pustulka, E., von Arx, S., & Espona, L. (2022). Building a NoSQL ERP. Proceedings of Seventh International Congress on Information and Communication Technology. ICICT 2022, London, 2, 671–680. https://doi.org/10.1007/978-981-19-1610-6_59
Peer-reviewed

Pustulka, E., Hanne, T., Gachnang, P., & Biafora, P. (2021). FLIE: form labeling for information extraction. In K. Arai, S. Kapoor, & R. Bhatia (Eds.), Proceedings of the Future Technologies Conference (FTC) 2020 (Vol. 2, pp. 550–567). https://doi.org/10.1007/978-3-030-63089-8_35
Peer-reviewed

Pustulka, E., Güler, A., & Hanne, T. (2021). A logistics serious game. GSGS′21. 6th International Conference on Gamification & Serious Game, 66–69. https://doi.org/10.26041/fhnw-6976
Pustulka, E., & Hanne, T. (2020). Text mining innovation for business. In R. Dornberger (Ed.), New trends in business information systems and technology. Digital innovation and digital business Transformation (pp. 49–61). Springer. https://doi.org/10.1007/978-3-030-48332-6_4
Peer-reviewed

Pustulka, E., Hanne, T., Richard, W., Egemen, K., Benjamin, A., Stefan, E., & Adriaensen, B. (2019). A game teaching population based optimization using teaching-learning-based optimization. GSGS′19. 4th Gamification & Serious Game Symposium, 45–48. https://irf.fhnw.ch/handle/11654/42448
Peer-reviewed

Pustulka, E., Hanne, T., Adriaensen, B., Eggenschwiler, S., Kaba, E., & Wetzel, R. (2019). An experiment with an optimization game. In K. Blashki & Y. Xiao (Eds.), IADIS International Conference Interfaces and Human Computer Interaction 2019 (part of MCCSIS 2019) (pp. 173–180). https://doi.org/10.33965/g2019_201906l022
Peer-reviewed

Pustulka, E., Hanne, T., Blumer, E., & Frieder, M. (2018). Multilingual Sentiment Analysis for a Swiss Gig. In K. C. Wong (Ed.), 6th International Symposium on Computational and Business Intelligence (ISCBI 2018). https://doi.org/10.1109/iscbi.2018.00028
Gürtler, S., Bendel, O., Pustulka, E., Binz, M., & Heimsch, F. (2018). Identifikation von Meinungsrobotern. Fachhochschule Nordwestschweiz FHNW. https://irf.fhnw.ch/handle/11654/42398
Peer-reviewed

Pustulka, E., Telesko, R., & Hanne, T. (2018). Gig work business process improvement. In K. C. Wong (Ed.), ISCBI 2018. 6th International Symposium on Computational and Business Intelligence. Proceedings (pp. 10–15). CPS. https://doi.org/10.26041/fhnw-1764

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